Dr David Bozward

Tag: Education Policy

  • The Employability Industrial Complex: Metrics, Misalignment, and Missed Opportunity

    The Employability Industrial Complex: Metrics, Misalignment, and Missed Opportunity

    Universities today are caught in a paradox. They are judged by employability outcomes, yet the systems they use to measure and deliver employability are increasingly detached from how work, value creation, and careers actually function in the modern economy. What has emerged is not simply a set of practices, but something closer to an ecosystem—a self-reinforcing structure of metrics, incentives, technologies, and narratives. This is what we might call the Employability Industrial Complex.

    It is not malicious. In many ways, it is rational. But it is profoundly misaligned.

    And the cost of that misalignment is being paid by students, employers, and the economy at large.

    The Rise of the Employability Industrial Complex

    Over the past two decades, employability has shifted from a peripheral concern to a central performance metric in higher education. In the UK, frameworks tied to graduate outcomes, continuation rates, and progression—often linked to regulatory oversight—have made employability a defining feature of institutional success.

    At one level, this is entirely appropriate. Universities should prepare students for life beyond education. The problem lies not in the intention, but in the operationalisation.

    Employability has become systematised. It is measured through:

    • Graduate Outcomes surveys
    • Destination data (six months, fifteen months)
    • Employment rates and salary bands
    • Participation in careers services
    • Completion of employability awards or badges

    These metrics, while useful in isolation, have collectively created a narrow definition of success: a job, within a timeframe, measured in a standardised way.

    This is the foundation of the industrial complex.

    Once metrics become targets, behaviour follows. Institutions optimise for what is measured. Careers services design interventions to increase engagement counts. Academics embed employability activities to demonstrate compliance. Platforms track interactions, applications, and appointments.

    The system becomes efficient at producing evidence of employability.

    But not necessarily employability itself.

    Metrics Without Meaning

    The first structural issue is the over-reliance on proxy metrics.

    Employment is used as a proxy for capability. Salary is used as a proxy for value. Engagement is used as a proxy for readiness.

    Yet none of these, in isolation, tell us whether a graduate can:

    • Create value in an organisation
    • Adapt to changing conditions
    • Identify and act on opportunities
    • Build networks and relationships
    • Navigate uncertainty

    In other words, they do not measure entrepreneurial capability—the very thing the modern labour market increasingly demands.

    Consider two graduates:

    • One secures a job quickly through a structured graduate scheme.
    • Another spends 12 months freelancing, building a client base, and launching a small venture.

    Under current metrics, the first is a success. The second is a risk.

    But from an economic and capability perspective, the second may be demonstrating far greater employability in its truest sense: the ability to create and sustain value independently.

    The industrial complex struggles to recognise this because it is not easily measurable within standardised frameworks.

    The Misalignment with the Modern Economy

    The second issue is structural misalignment with how the economy actually operates.

    The dominant employability model is still rooted in a 20th-century view of careers:

    • Linear progression
    • Stable organisations
    • Clear occupational pathways
    • Employer-defined roles

    This model assumes that employability is about matching individuals to predefined jobs.

    But the contemporary economy is increasingly characterised by:

    • Portfolio careers
    • Project-based work
    • Freelancing and self-employment
    • Rapid technological change
    • Blurred boundaries between sectors

    In this environment, employability is less about matching and more about navigation and creation.

    Graduates are not simply entering jobs. They are entering systems of uncertainty where they must:

    • Continuously reskill
    • Identify emerging opportunities
    • Build and leverage networks
    • Combine employment with entrepreneurial activity

    Yet our employability systems rarely reflect this reality.

    Instead, they continue to optimise for job placement metrics that assume stability and predictability.

    This creates a fundamental disconnect.

    Universities are preparing students for one system, while the economy operates in another.

    The Institutional Feedback Loop

    The Employability Industrial Complex persists because it is reinforced by a powerful feedback loop.

    1. Regulators demand measurable outcomes
    2. Universities respond by creating metrics and systems
    3. Service providers build platforms to track and report data
    4. Rankings and league tables amplify the importance of these metrics
    5. Students are encouraged to engage with activities that improve scores

    Each actor is responding rationally within their context.

    But collectively, they produce a system that prioritises measurement over meaning.

    This is not unique to higher education. Similar dynamics can be seen in healthcare, where patient outcomes are reduced to targets, or in policing, where performance metrics can distort behaviour.

    In each case, the system becomes optimised for the metric, not the mission.

    The Role of Careers Services

    Careers services sit at the centre of this system—and often carry the burden of its contradictions.

    On one hand, they are tasked with supporting students in meaningful career development. On the other, they are measured by:

    • Appointment numbers
    • Workshop attendance
    • Employer engagement metrics
    • Platform usage statistics

    The result is a shift from depth to volume.

    High-impact, personalised interventions are difficult to scale and measure. Low-impact, high-volume activities are easier to track and report.

    This creates a subtle but important distortion:

    • Students are encouraged to attend sessions rather than build capability
    • Services focus on engagement rates rather than long-term outcomes
    • Success is defined by participation, not transformation

    The danger is that careers services become transactional rather than developmental.

    The Missed Opportunity: Entrepreneurial Employability

    The most significant consequence of this system is the opportunity it overlooks.

    Employability is not simply about getting a job. It is about the capacity to create value across contexts.

    This aligns closely with entrepreneurship—not in the narrow sense of starting a business, but in the broader sense of:

    • Opportunity recognition
    • Resource mobilisation
    • Value creation
    • Adaptation and resilience

    These are the capabilities that underpin both employment and enterprise.

    Yet they are often marginalised within employability frameworks because they are:

    • Difficult to measure
    • Harder to standardise
    • Less aligned with traditional metrics

    This is where universities have a strategic opportunity.

    By reframing employability as entrepreneurial capability, institutions can move beyond the limitations of the industrial complex.

    Rethinking the Model: From Outcomes to Capability

    If the current system is built on outcomes, the alternative is to focus on capability.

    This requires a shift in three areas:

    1. Measurement

    We need to move from narrow outcome metrics to richer indicators of capability.

    This could include:

    • Evidence of value creation (projects, ventures, impact)
    • Network development and social capital
    • Problem-solving in real-world contexts
    • Adaptability and learning agility

    These are harder to measure, but not impossible.

    Digital portfolios, longitudinal tracking, and employer feedback loops can provide more meaningful insights than static surveys.

    2. Curriculum Integration

    Employability cannot sit at the edge of the student experience.

    It must be embedded within the curriculum through:

    • Live projects with external partners
    • Simulation-based learning
    • Venture creation opportunities
    • Interdisciplinary problem-solving

    This aligns with a broader model of education that emphasises learning through doing.

    Students develop capability not by attending workshops, but by engaging in authentic challenges.

    3. System Design

    Perhaps most importantly, we need to redesign the system itself.

    This means aligning:

    • Regulatory frameworks
    • Institutional incentives
    • Service delivery models

    around a more holistic definition of employability.

    It also means recognising that employability is not a short-term outcome, but a long-term trajectory.

    Graduates’ careers unfold over decades, not months.

    A Different Future

    The Employability Industrial Complex is not going to disappear overnight. It is deeply embedded in policy, practice, and institutional culture.

    But it can evolve.

    The question is whether universities are willing to move beyond compliance and towards leadership.

    This requires a shift in mindset:

    • From measuring what is easy to measuring what matters
    • From delivering services to building systems
    • From focusing on jobs to focusing on value creation

    It also requires courage.

    Because challenging the industrial complex means questioning the very metrics by which institutions are judged.

    Conclusion: Reclaiming the Purpose of Employability

    At its core, employability is about enabling individuals to lead meaningful, productive lives.

    It is about equipping people with the capability to navigate complexity, create value, and contribute to society.

    The current system captures only a fraction of this.

    By reducing employability to a set of metrics, we risk losing sight of its true purpose.

    The opportunity now is to reclaim it.

    To move beyond the industrial complex and build a model of employability that reflects the realities of the modern economy—and the potential of the students we serve.

    This is not just a technical challenge.

    It is a strategic one.

    And for institutions willing to engage with it, it represents one of the most significant opportunities in higher education today.

    Tags: employability, higher education, entrepreneurship, graduate outcomes, careers services, innovation, education policy, skills development, workforce readiness, university strategy

  • From Classroom to Capability: Rethinking Graduate Outcomes

    From Classroom to Capability: Rethinking Graduate Outcomes

    The modern university faces a credibility problem. Not because knowledge has lost value—but because the translation of that knowledge into real-world capability is increasingly uncertain. Across the UK and globally, graduate outcomes are under scrutiny. Employment rates fluctuate, underemployment persists, and employers continue to report skills gaps despite rising qualification levels.

    The issue is not that graduates lack intelligence or effort. It is that the system they emerge from is misaligned with how capability is actually developed, demonstrated, and deployed in the real world.

    This blog argues for a fundamental shift: from measuring what students know to understanding what they can do. From classroom achievement to capability formation.

    The Illusion of Outcomes

    Graduate outcomes are typically measured through metrics such as employment rates, salary levels, and progression into further study. In the UK, frameworks linked to the Office for Students (OfS), particularly B3 conditions, reinforce these indicators as proxies for institutional performance.

    But these metrics mask deeper structural problems.

    A graduate employed six months after finishing their degree may appear as a success in data terms. Yet this tells us little about:

    • The relevance of their role to their studies
    • Their long-term career trajectory
    • Their capacity to adapt, innovate, or lead
    • Their ability to create value—either for themselves or others

    The result is a system optimised for short-term outputs, not long-term capability.

    This is the graduate employability illusion: a belief that employment equals preparedness.

    What Employers Actually Value

    Employer surveys consistently highlight a mismatch between graduate skills and workplace expectations. While technical knowledge remains important, employers increasingly prioritise:

    • Problem-solving in ambiguous environments
    • Communication across disciplines and cultures
    • Initiative and self-direction
    • Commercial awareness
    • Adaptability and resilience

    These are not easily taught through lectures or assessed through exams. They are developed through experience, reflection, and application.

    In other words, capability is not a product of curriculum delivery alone. It is the result of a developmental process that integrates knowledge, action, and context.

    Capability vs Competence

    To rethink graduate outcomes, we must first distinguish between competence and capability.

    Competence refers to the ability to perform specific tasks to a defined standard. It is often narrow, measurable, and context-dependent.

    Capability, by contrast, is broader and more dynamic. It includes:

    • The ability to apply knowledge in unfamiliar situations
    • The capacity to learn, unlearn, and relearn
    • The confidence to act under uncertainty
    • The judgement to make decisions with incomplete information

    Universities have become highly effective at delivering competence. But the future economy demands capability.

    This distinction matters because competence can be assessed at a single point in time. Capability must be observed over time, across contexts.

    The Structural Problem: Education Without Application

    The dominant model of higher education remains rooted in knowledge transmission. Despite decades of reform, many programmes still follow a familiar pattern:

    1. Content delivery (lectures, readings)
    2. Knowledge testing (exams, essays)
    3. Qualification awarding (degree classification)

    What is often missing is systematic application.

    Students may complete a degree having:

    • Never worked on a real-world problem
    • Never engaged with an external stakeholder
    • Never experienced failure in a safe but meaningful environment
    • Never reflected deeply on their own development

    This is not a criticism of individual academics. It is a structural issue embedded in how programmes are designed, validated, and funded.

    From Curriculum to Capability Systems

    If we are serious about improving graduate outcomes, we need to move beyond curriculum design and towards capability systems.

    A capability system integrates five core elements:

    1. Knowledge Foundations

    Disciplinary knowledge remains essential. But it must be framed not as an endpoint, but as a tool.

    The question is not “What should students know?” but “What should they be able to do with what they know?”

    2. Applied Experience

    Capability develops through doing. This includes:

    • Live projects with industry
    • Simulations and experiential learning
    • Internships and placements
    • Entrepreneurial ventures

    These experiences must be embedded, not optional.

    Tools like SimVenture demonstrate how simulation-based learning can provide structured environments for decision-making under uncertainty—bridging the gap between theory and practice.

    3. Reflective Practice

    Experience alone is not enough. Without reflection, learning remains superficial.

    Students need structured opportunities to:

    • Analyse their decisions
    • Understand their strengths and weaknesses
    • Develop self-awareness
    • Build a narrative of their capability

    Reflection transforms activity into learning.

    4. Capability Signalling

    One of the biggest challenges graduates face is not capability itself, but the ability to demonstrate it.

    Traditional CVs and degree classifications are blunt instruments. They do not capture:

    • How a student solved a problem
    • How they worked in a team
    • How they responded to failure

    Emerging approaches—such as digital credentials and portfolio-based assessment—offer more nuanced ways of signalling capability.

    Platforms like AlmaBridge illustrate how verifiable, granular credentials can provide a richer picture of what graduates can actually do.

    5. Transition Support

    The final stage is the transition from education to employment—or entrepreneurship.

    This is where many systems fail.

    Careers services are often:

    • Reactive rather than proactive
    • Transactional rather than developmental
    • Focused on job search rather than capability building

    A capability-based model requires a reimagined transition system—one that supports:

    • Career exploration
    • Skill articulation
    • Network building
    • Opportunity creation

    The Role of Entrepreneurship

    Entrepreneurship provides a powerful lens through which to rethink graduate outcomes.

    Not because every student should start a business—but because entrepreneurial thinking develops core capabilities:

    • Opportunity recognition
    • Resourcefulness
    • Value creation
    • Risk management

    Your own 9 Stages of Entrepreneurial Lifecycle model offers a useful framework here. From discovery through to exit, each stage requires different capabilities—and exposes students to different forms of learning.

    Embedding entrepreneurial thinking across disciplines can shift education from passive consumption to active creation.

    Measurement: What Should We Actually Track?

    If we move towards capability, our metrics must evolve.

    Instead of focusing solely on employment outcomes, institutions should track:

    1. Capability Development

    • Evidence of applied learning
    • Progression in key capabilities (e.g. problem-solving, communication)
    • Student self-efficacy

    2. Engagement with Practice

    • Participation in live projects
    • Industry interaction
    • Experiential learning hours

    3. Value Creation

    • Contributions to organisations or communities
    • Entrepreneurial activity
    • Innovation outputs

    4. Longitudinal Outcomes

    • Career progression over 3–5 years
    • Role complexity and responsibility
    • Income growth relative to sector

    5. Adaptability

    • Career changes
    • Upskilling and reskilling activity
    • Ability to navigate transitions

    This requires better data systems, but more importantly, a shift in mindset.

    The Institutional Challenge

    Rethinking graduate outcomes is not a minor adjustment. It requires systemic change.

    1. Academic Culture

    Academics must be supported to integrate application and reflection into their teaching—not as an add-on, but as core practice.

    2. Programme Design

    Courses need to be structured around capability development pathways, not just content coverage.

    3. Partnerships

    Stronger relationships with industry, public sector organisations, and communities are essential to provide real-world contexts.

    4. Technology Infrastructure

    Platforms that track, verify, and showcase capability must be integrated into the student journey.

    5. Policy Alignment

    Regulators and funding bodies must move beyond narrow outcome metrics and support more holistic approaches.

    A Practical Model: The Capability Loop

    To make this operational, consider a simple but powerful model: the Capability Loop.

    1. Learn – Acquire knowledge and frameworks
    2. Apply – Use them in real or simulated contexts
    3. Reflect – Analyse performance and learning
    4. Signal – Capture and communicate capability
    5. Transition – Deploy capability in the real world

    This loop repeats throughout the student journey.

    The key is not any single element, but the integration of all five.

    Why This Matters Now

    Several forces are converging to make this shift urgent:

    1. Labour Market Volatility

    Careers are no longer linear. Graduates must be prepared for multiple transitions.

    2. Technological Change

    Automation and AI are reshaping roles. Knowledge alone is insufficient; adaptability is critical.

    3. Rising Student Expectations

    Students increasingly question the return on investment of higher education. They want outcomes that are tangible and meaningful.

    4. Policy Pressure

    Frameworks like those from the Office for Students are intensifying scrutiny on outcomes, creating both risk and opportunity for institutions.

    From System Efficiency to Human Capability

    At its core, this is a philosophical shift.

    Higher education has, in many ways, become a system optimised for efficiency:

    • Standardised curricula
    • Scalable delivery
    • Measurable outputs

    But capability is not easily standardised. It is:

    • Contextual
    • Developmental
    • Individual

    If universities are to remain relevant, they must rebalance—maintaining rigour while embracing complexity.

    Conclusion: A New Contract with Students

    Rethinking graduate outcomes is not just about metrics or pedagogy. It is about redefining the implicit contract between universities and students.

    The old contract was:

    “We will provide knowledge, and you will translate it into success.”

    The new contract must be:

    “We will help you develop the capability to create value—in any context you choose.”

    This is a more demanding promise. It requires deeper engagement, more complex systems, and greater accountability.

    But it is also a more honest one.

    Because in the end, what matters is not what students know when they leave the classroom.

    It is what they can do when they enter the world.

  • Why Careers Services Don’t Work—and What Should Replace Them

    Why Careers Services Don’t Work—and What Should Replace Them

    There is a quiet but growing contradiction at the heart of modern higher education. Universities invest heavily in careers services—buildings, staff, platforms, employer engagement teams—yet graduate outcomes remain stubbornly uneven. Students attend workshops, polish CVs, and browse job boards, but too many still leave university without direction, confidence, or a clear pathway into meaningful work.

    The problem is not effort. It is design.

    Careers services, as they are currently structured, were built for a different era—one where employment pathways were more linear, professions more stable, and the transition from education to work more predictable. That world no longer exists. Yet the model persists, largely unchanged.

    If we are serious about employability, entrepreneurship, and economic productivity, then the question is not how to improve careers services incrementally. It is whether the entire model needs to be replaced.

    The Structural Failure of Careers Services

    At first glance, careers services appear logical: provide advice, connect students with employers, and support applications. But beneath this logic lies a set of assumptions that no longer hold.

    1. The “Service” Model Is Passive by Design

    Careers services operate as optional support. Students must opt in—book appointments, attend workshops, seek help. This immediately creates a participation gap. People don’t know what they don’t know.

    The students who engage most are typically:

    • Already motivated
    • Already confident
    • Already advantaged

    Those who need support the most—first-generation students, those with weaker networks, those uncertain about their direction—are often the least likely to engage.

    The result is predictable: careers services amplify existing inequalities rather than reduce them.

    This is not a failure of staff. It is a failure of system design.

    2. They Sit Outside the Curriculum

    Most careers activity exists at the margins of the student experience. It is not embedded into teaching, assessment, or progression. It is something extra—an add-on.

    This separation creates three problems:

    • Lack of relevance: Students struggle to see how careers advice connects to their degree.
    • Timing issues: Engagement often comes too late—typically in final year.
    • Low accountability: Academic programmes are not directly responsible for employability outcomes.

    In effect, employability is outsourced.

    Yet employability is not a service outcome. It is a learning outcome.

    3. The Metrics Are Misleading

    Universities often measure careers services success through activity metrics:

    • Number of appointments
    • Workshop attendance
    • Employer events
    • Job postings

    These metrics create the illusion of impact without measuring real outcomes.

    Even graduate employment statistics—such as those linked to regulatory frameworks—tell only part of the story. They capture whether a student is in work, not:

    • Whether the role aligns with their skills
    • Whether it offers progression
    • Whether it builds long-term capability

    Careers services become trapped in reporting cycles that reward activity over transformation.

    4. The Model Assumes Jobs, Not Value Creation

    Traditional careers services are built around a simple premise: help students get jobs.

    But the modern economy demands something more complex:

    • Portfolio careers
    • Freelancing and self-employment
    • Entrepreneurship and venture creation
    • Intrapreneurship within organisations

    Students are no longer just job seekers. They are potential value creators.

    Yet most careers services do not teach:

    • How to identify opportunities
    • How to create value in uncertain environments
    • How to build and deploy different forms of capital
    • How to navigate non-linear career paths

    This is a fundamental mismatch between system design and economic reality.

    5. Fragmentation Across the Student Journey

    A student’s development is often split across multiple disconnected systems:

    • Academic modules
    • Careers appointments
    • Placement teams
    • Enterprise hubs
    • External platforms

    There is rarely a single, coherent journey.

    Students experience this as confusion:

    • “What should I be doing now?”
    • “How does this activity help me?”
    • “What is the end goal?”

    Without a structured pathway, engagement becomes episodic rather than developmental.

    The Deeper Problem: A Misunderstanding of Employability

    At its core, the failure of careers services stems from a flawed definition of employability.

    Employability is often treated as:

    • A set of skills (CV writing, interview technique)
    • A set of activities (placements, networking)
    • A final outcome (a job after graduation)

    But employability is better understood as:

    The capability to create, recognise, and capture value in a changing environment.

    This shifts the focus from employment to adaptability, from jobs to value creation, and from support services to developmental systems.

    Once you adopt this definition, the limitations of traditional careers services become obvious.

    What Should Replace Careers Services?

    If the current model is not fit for purpose, what should take its place?

    The answer is not a rebranded careers team (I would love to list those who have done this). It is a fundamentally different system: an Integrated Employability and Entrepreneurship Framework embedded across the entire student lifecycle.

    This is not a theoretical concept. It is a practical model that aligns education with real-world outcomes.

    1. From Service to System: Embedding Employability Across Every Degree

    The first shift is structural.

    Employability must move from being:

    • Optional → Mandatory
    • Peripheral → Embedded
    • Reactive → Developmental

    Every degree programme should include:

    • Defined employability and entrepreneurial outcomes
    • Structured development across all years
    • Assessment aligned to real-world capability

    This means:

    • First year: exploration and opportunity awareness
    • Second year: skill development and application
    • Final year: transition, positioning, and value demonstration

    Careers is no longer a department. It becomes part of the curriculum.

    2. A Staged Development Model

    Students need a clear pathway—not a collection of disconnected interventions.

    A staged model—aligned to entrepreneurial development—provides this structure:

    • Discovery: Understanding interests, strengths, and opportunities
    • Modeling: Exploring career pathways and value propositions
    • Startup: Testing ideas, gaining experience, building networks
    • Existence: Securing roles, clients, or early traction
    • Survival and Growth: Developing capability within real contexts

    This approach reframes careers as a developmental journey, not a final-year activity.

    3. Integrating the Eight Forms of Capital

    One of the most powerful shifts is moving beyond the idea that employability is about skills alone.

    Students draw on multiple forms of capital:

    • Human (skills, knowledge)
    • Social (networks, relationships)
    • Cultural (understanding norms and expectations)
    • Financial (resources and stability)
    • Experiential (practical experience)
    • Intellectual (ideas, problem-solving ability)
    • Manufactured (tools, platforms, assets)
    • Personal/identity-based capital (confidence, purpose)

    Traditional careers services focus almost entirely on human capital.

    A modern system must develop all eight.

    For example:

    • Networking builds social capital
    • Placements build experiential capital
    • Entrepreneurship builds multiple capitals simultaneously

    This creates a far more robust foundation for long-term success.

    4. Real-World Experience as Core, Not Optional

    Work experience is often treated as an enhancement. It should be central.

    This includes:

    • Placements
    • Live projects with employers
    • Consultancy challenges
    • Venture creation
    • Freelance or portfolio work

    The key is not just exposure, but structured reflection and assessment.

    Students should graduate with:

    • Evidence of value creation
    • Demonstrated capability
    • A portfolio of work

    This is far more powerful than a CV.

    5. Data-Driven Development, Not Activity Tracking

    A new model requires better measurement.

    Instead of tracking:

    • Appointments
    • Attendance
    • Events

    We should track:

    • Progression through development stages
    • Acquisition of different forms of capital
    • Engagement with real-world experiences
    • Outcomes aligned to capability and value

    This requires integrated systems—linking academic data, careers activity, and external engagement.

    The goal is not reporting. It is insight.

    6. Employer Engagement as Co-Creation

    In the traditional model, employers are external stakeholders—invited to careers fairs or guest lectures.

    In a modern system, employers become:

    • Co-designers of curriculum
    • Providers of real-world challenges
    • Partners in assessment
    • Contributors to student development

    This shifts the relationship from transactional to embedded.

    It also ensures that learning remains aligned with evolving industry needs.

    7. Supporting Multiple Pathways: Employment, Entrepreneurship, and Beyond

    A future-facing model must recognise that there is no single “correct” outcome.

    Students may:

    • Enter employment
    • Start a business
    • Build a freelance career
    • Combine multiple income streams

    The system must support all of these pathways equally.

    This requires:

    • Entrepreneurial education embedded across disciplines
    • Access to venture support and incubation
    • Recognition of non-traditional career paths

    In doing so, universities move from producing graduates to developing economic actors.

    8. A Single, Coherent Student Journey

    Perhaps the most important shift is coherence.

    Students should experience a clear, structured journey:

    • Defined stages
    • Clear expectations
    • Visible progress
    • Integrated support

    This replaces confusion with clarity.

    It also creates accountability—both for students and institutions.

    The Institutional Implications

    Replacing careers services with an integrated model is not a small change. It requires institutional transformation.

    1. Leadership Alignment

    Employability must be a strategic priority, not a departmental responsibility.

    This means:

    • Senior leadership ownership
    • Alignment with regulatory frameworks
    • Integration into quality assurance processes

    2. Academic Engagement

    Academics must play a central role.

    This requires:

    • Training and support
    • Recognition in workload models
    • Alignment with teaching and assessment

    Employability is not an add-on to teaching. It is part of teaching.

    3. Systems and Infrastructure

    Technology must support integration:

    • Data systems linking student activity and outcomes
    • Platforms for employer engagement
    • Tools for tracking development and capital acquisition

    Without this, fragmentation will persist.

    4. Cultural Change

    Perhaps the hardest shift is cultural.

    Universities must move from:

    • Knowledge transmission → Capability development
    • Degree completion → Outcome achievement
    • Institutional focus → Student journey focus

    This is not a technical change. It is a mindset shift.

    Conclusion: From Support to System

    Careers services do not fail because people are not trying hard enough. They fail because they are solving the wrong problem.

    They are built to support students at the end of their journey. But employability is not an endpoint. It is a process that must be developed from day one.

    The future of higher education will not be defined by:

    • The number of degrees awarded
    • The scale of careers provision
    • The volume of employer engagement

    It will be defined by one question:

    Can graduates create value in a complex, changing world?

    To answer that question, we do not need better careers services.

    We need a different system entirely.

    One that integrates employability, entrepreneurship, and education into a single, coherent model—designed not just to help students find work, but to enable them to shape it.

  • The Graduate Employability Illusion: Degrees Without Direction

    The Graduate Employability Illusion: Degrees Without Direction

    There is a quiet but deeply consequential illusion at the heart of modern higher education: the belief that a degree, in and of itself, leads to employability. It is an assumption embedded in policy, marketing, and institutional metrics. Universities promote graduate outcomes as a proxy for value. Students enrol with the expectation of career progression. Governments measure success through employment statistics. Yet beneath this shared narrative lies a more uncomfortable truth.

    Degrees do not create employability. At best, they create potential. At worst, they create false confidence.

    This distinction matters. Because when potential is mistaken for readiness, graduates enter the labour market without direction, employers struggle to find capability, and institutions continue to optimise for the wrong outcomes.

    This is the graduate employability illusion.

    The Problem: Employment Is Not Employability

    One of the most persistent errors in higher education is the conflation of employment with employability. The two are related, but fundamentally different.

    • Employment is an outcome — a job secured within a given timeframe.
    • Employability is a capability — the ability to create, secure, and sustain meaningful work over time.

    Universities overwhelmingly measure the former. Metrics such as graduate employment rates, salary benchmarks, and progression statistics dominate league tables and regulatory frameworks. But these indicators are lagging and often misleading.

    A graduate may secure a job that:

    • Is unrelated to their field of study
    • Requires minimal graduate-level skill
    • Offers limited progression or development

    In such cases, employment exists — but employability does not.

    The illusion persists because employment is easy to measure. Employability is not.

    The Structural Mismatch: Degrees vs Labour Market Reality

    Higher education systems were not originally designed to produce employable graduates at scale. They were designed to:

    • Advance knowledge
    • Develop intellectual capacity
    • Prepare elites for professional roles

    Massification has changed the landscape, but not the underlying structures.

    Today, millions of students graduate each year into labour markets that are:

    • Rapidly evolving
    • Digitally transformed
    • Increasingly uncertain
    • Highly competitive

    Yet degree programmes often remain:

    • Curriculum-centric rather than capability-centric
    • Assessment-driven rather than experience-driven
    • Knowledge-heavy but context-light

    The result is a structural mismatch.

    Graduates leave with:

    • Subject knowledge
    • Academic credentials
    • Limited practical experience
    • Weak professional identity

    Employers, meanwhile, are seeking:

    • Problem-solving ability
    • Communication and collaboration skills
    • Commercial awareness
    • Adaptability and initiative

    This gap is not new — but it is widening.

    The Myth of Linear Progression

    Another element of the illusion is the belief in a linear pathway:

    Degree → Graduate Job → Career Progression

    This pathway may have held true for previous generations, particularly in stable industries. It no longer reflects reality.

    Modern careers are:

    • Non-linear
    • Portfolio-based
    • Iterative
    • Often self-directed

    Graduates increasingly:

    • Move between roles and sectors
    • Combine employment with freelance or entrepreneurial activity
    • Create opportunities rather than simply apply for them

    Yet higher education continues to prepare students for a single transition point — the moment of graduation.

    This creates a dangerous gap. Students are trained to exit education, not to navigate work.

    The Hidden Cost: Directionless Graduates

    The most significant consequence of the employability illusion is not unemployment. It is misdirection.

    Graduates leave university without:

    • A clear sense of what they want to do
    • An understanding of where their value lies
    • A strategy for entering the labour market

    This leads to:

    • Prolonged job searching
    • Acceptance of suboptimal roles
    • Underemployment
    • Loss of confidence

    Over time, this compounds into broader economic inefficiency:

    • Skills underutilisation
    • Reduced productivity
    • Delayed career progression

    From a policy perspective, this is a failure of system design, not individual effort.

    Why the System Persists

    If the problem is so visible, why does it persist?

    1. Metrics Drive Behaviour

    Universities respond to what is measured. When regulatory frameworks prioritise employment outcomes, institutions optimise for short-term job placement rather than long-term capability development.

    This leads to:

    • Superficial employability interventions
    • Last-minute career support
    • Emphasis on CV writing over capability building

    2. Fragmented Responsibility

    Employability is often treated as:

    • A careers service issue
    • An optional add-on
    • A student responsibility

    Rather than a core institutional function embedded across curriculum, pedagogy, and assessment.

    3. Academic Identity

    Many degree programmes remain rooted in disciplinary traditions that prioritise knowledge over application. While intellectually valuable, this can limit alignment with labour market needs.

    4. Student Expectations

    Students themselves often reinforce the illusion. The promise of a degree as a pathway to a “good job” remains deeply embedded in societal narratives.

    Rethinking Employability: From Outcome to Capability

    To move beyond the illusion, we need to redefine employability not as a destination, but as a developmental process.

    Employability should be understood as the ability to:

    • Identify opportunities
    • Create value
    • Communicate that value
    • Adapt over time

    This aligns closely with entrepreneurial thinking — not in the narrow sense of starting a business, but in the broader sense of navigating uncertainty and creating pathways.

    In this context, employability becomes:

    • Dynamic rather than static
    • Personalised rather than standardised
    • Continuous rather than time-bound

    A More Realistic Model: Direction Before Destination

    If degrees are not enough, what is missing?

    The answer is direction.

    Direction sits at the intersection of:

    • Self-awareness (skills, interests, values)
    • Market awareness (opportunities, sectors, roles)
    • Strategic action (experience, networks, positioning)

    Without direction, graduates default to:

    • Generic job applications
    • Reactive decision-making
    • Short-term thinking

    With direction, they can:

    • Target opportunities
    • Build relevant experience
    • Articulate their value clearly

    This is not about certainty. It is about intentionality.

    Embedding Direction into Higher Education

    The challenge, then, is how to embed direction into the student experience.

    This requires a shift from:
    “What do students know?”
    to
    “What can students do, and where can they apply it?”

    1. Early Engagement

    Employability cannot be left to the final year. Students need structured engagement from the outset:

    • Exposure to different career pathways
    • Opportunities to test interests
    • Reflection on strengths and preferences

    2. Integrated Curriculum

    Employability should not sit outside the curriculum. It should be embedded within it:

    • Real-world projects
    • Industry collaboration
    • Applied assessment

    3. Experiential Learning

    Experience is the bridge between education and employment. This includes:

    • Placements
    • Internships
    • Live projects
    • Entrepreneurial activity

    4. Professional Identity Development

    Students need to develop a sense of:

    • Who they are
    • What they offer
    • Where they fit

    This goes beyond CVs and LinkedIn profiles. It is about narrative and positioning.

    5. Continuous Support

    Employability is not a one-off intervention. It requires:

    • Ongoing guidance
    • Personalised coaching
    • Access to networks and opportunities

    The Role of Entrepreneurship

    One of the most powerful ways to address the employability illusion is to reframe employability through an entrepreneurial lens.

    Entrepreneurship, in this sense, is not about venture creation alone. It is about:

    • Opportunity recognition
    • Resource mobilisation
    • Value creation

    These are precisely the capabilities required in modern labour markets.

    By embedding entrepreneurial thinking into education, we:

    • Equip students to create opportunities, not just seek them
    • Develop resilience and adaptability
    • Encourage proactive career management

    This aligns with a broader shift from:
    Employment readiness → Value creation capability

    Implications for Policy and Practice

    If we accept that the employability illusion is real, then incremental change is not enough. What is required is a systemic shift.

    For Universities

    • Redesign programmes around capability, not just content
    • Integrate employability across all years and modules
    • Measure long-term outcomes, not just first destinations

    For Policymakers

    • Move beyond narrow employment metrics
    • Incentivise capability development and experiential learning
    • Support collaboration between education and industry

    For Employers

    • Engage earlier in the student journey
    • Value potential and capability, not just experience
    • Co-create pathways into employment

    For Students

    • Take ownership of their development
    • Seek experiences beyond the classroom
    • Build networks and explore opportunities proactively

    From Illusion to Reality

    The graduate employability illusion persists because it is convenient. It allows institutions to signal value, policymakers to measure outcomes, and students to believe in a predictable future.

    But convenience comes at a cost.

    A degree without direction is not a pathway — it is a placeholder.

    If we are serious about improving graduate outcomes, we must move beyond the illusion and confront the reality:

    • Employability is not guaranteed
    • Careers are not linear
    • Value must be created, not assumed

    The role of higher education, therefore, is not simply to confer knowledge, but to enable navigation — of opportunity, uncertainty, and change.

    This requires a fundamental shift in how we think about degrees, students, and success.

    Because in the end, the question is not:

    “Did the graduate get a job?”

    But:

    “Can the graduate build a meaningful and sustainable working life?”

    Until we answer that question differently, the illusion will remain — and so will the gap between education and employment.

  • Why Universities Are Measuring Employability Completely Wrong

    Employability has become one of the defining metrics of higher education. It sits at the centre of league tables, regulatory frameworks, and institutional strategy. Yet, despite the attention it receives, most universities are measuring it in ways that fundamentally misunderstand what employability actually is—and how it is created.

    This is not a minor technical issue. It is a structural flaw. And it is quietly shaping the behaviour of institutions, the design of curricula, and the experiences of students in ways that ultimately undermine the very outcomes universities claim to prioritise.

    The Problem: Measuring Outcomes, Ignoring Systems

    Most universities measure employability through a narrow set of outcome indicators:

    • Graduate employment rates (often within 6–15 months)
    • Salary levels
    • Progression into “highly skilled” roles
    • Further study rates

    These metrics are attractive because they are simple, comparable, and quantifiable. They allow regulators and rankings to create clean hierarchies. But they also create a dangerous illusion: that employability is an endpoint rather than a process.

    In reality, employability is not something that happens after graduation. It is something that is developed—often unevenly—over time.

    By focusing only on outcomes, universities overlook the underlying systems that produce those outcomes. This leads to three critical distortions:

    1. Short-termism – prioritising immediate employment over long-term career capability
    2. Attribution errors – assuming university input is the primary driver of outcomes
    3. Metric gaming – designing interventions to improve scores rather than substance

    The result is a measurement system that is precise, but not accurate.

    Employability Is Not Employment

    The first conceptual error is simple but profound: employability is not the same as employment.

    A graduate securing a job within six months tells us very little about their underlying capability. It tells us even less about their long-term trajectory.

    Employment outcomes are shaped by multiple external variables:

    • Local and national labour market conditions
    • Socio-economic background and networks
    • Prior work experience
    • Industry demand cycles
    • Geographic mobility

    A student with strong social capital and access to networks may secure employment quickly, even with relatively underdeveloped skills. Conversely, a highly capable student without those advantages may take longer to secure a role.

    If we measure employability purely through employment outcomes, we are effectively measuring advantage, not capability.

    This distinction matters. Because universities are not primarily responsible for labour markets—but they are responsible for capability development.

    The Missing Layer: Capability Development

    At its core, employability is about the development of capabilities that allow individuals to:

    • Enter the labour market
    • Navigate uncertainty
    • Create and capture value
    • Adapt over time

    These capabilities are multi-dimensional. They include:

    • Human capital (skills, knowledge, competencies)
    • Social capital (networks, relationships, signalling)
    • Cultural capital (confidence, norms, behaviours)
    • Experiential capital (practical application, real-world exposure)

    Most employability metrics fail to capture these dimensions in any meaningful way.

    Instead, they rely on proxy indicators—such as employment status—that sit several steps removed from the actual developmental process.

    This creates a measurement gap: universities are judged on outcomes they only partially control, while the capabilities they do influence remain largely invisible.

    The Pipeline Fallacy

    Universities often treat employability as a linear pipeline:

    Education → Graduation → Employment

    This model is intuitive—but wrong.

    In reality, employability is a complex, iterative process that begins long before university and continues long after graduation.

    Students do not enter university as blank slates. They bring with them:

    • Prior educational experiences
    • Family expectations
    • Networks and connections
    • Confidence (or lack of it)
    • Exposure to the world of work

    Similarly, graduation is not a fixed endpoint. Careers are no longer linear. They involve transitions, pivots, and periods of uncertainty.

    By imposing a linear model onto a non-linear reality, universities create systems that are poorly aligned with how careers actually develop.

    The Timing Problem: Measuring Too Late

    One of the most significant flaws in current employability metrics is timing.

    Most measurements occur after graduation—often 6 to 15 months later. By this point:

    • The student has left the institution
    • Multiple external factors have influenced outcomes
    • The opportunity for intervention has passed

    This is equivalent to evaluating a learning process only after the exam, without ever assessing progress during the course.

    If universities are serious about employability, measurement must shift upstream.

    We need to ask:

    • What capabilities are students developing during their studies?
    • How are these capabilities evolving over time?
    • Where are the gaps—and how can they be addressed early?

    Without this, employability becomes a retrospective exercise rather than a developmental one.

    The Behavioural Consequences of Bad Metrics

    Metrics do not just measure behaviour—they shape it.

    When universities are judged primarily on graduate outcomes, they respond rationally:

    • Focusing resources on final-year students
    • Prioritising “quick wins” in employment outcomes
    • Targeting students who are easiest to place
    • Investing in reporting systems rather than developmental systems

    This creates a skewed distribution of support, where those who need the most help often receive the least.

    It also encourages surface-level interventions:

    • CV workshops without real experience
    • Mock interviews without industry context
    • Job boards without network development

    These activities are not inherently bad—but they are insufficient on their own. They treat employability as a set of discrete tasks rather than a deeply embedded process.

    The Employability Illusion

    Many universities can point to impressive employability statistics. High employment rates. Strong salary outcomes. Positive graduate surveys.

    But these metrics often mask underlying issues:

    • Students lacking confidence in real-world environments
    • Graduates struggling to progress beyond entry-level roles
    • Limited entrepreneurial capability
    • Weak industry integration within curricula

    This creates what might be called the employability illusion: the appearance of success without the underlying substance.

    The danger is that institutions begin to believe their own metrics—while students experience a very different reality.

    Reframing Employability: A Systems Perspective

    To fix this problem, we need to move from an outcome-based model to a systems-based model.

    Employability should be understood as the interaction of multiple systems:

    1. Curriculum systems – how learning is designed and delivered
    2. Experience systems – access to placements, projects, and real-world exposure
    3. Support systems – careers services, mentoring, coaching
    4. Network systems – employer engagement, alumni connections
    5. Student systems – motivation, agency, identity

    Measurement must reflect this complexity.

    Instead of asking, “Did the student get a job?” we should be asking:

    • What capabilities has the student developed?
    • What experiences have they accumulated?
    • What networks have they built?
    • How confident are they in navigating uncertainty?

    These are harder questions—but they are the right ones.

    A Better Model: Measuring Development, Not Just Outcomes

    A more effective employability measurement framework would include three layers:

    1. Input Measures (What Universities Provide)

    • Integration of employability into curriculum
    • Access to industry projects and placements
    • Quality of employer engagement
    • Availability of mentoring and coaching

    2. Process Measures (What Students Do)

    • Participation in work-based learning
    • Engagement with careers services
    • Development of portfolios and projects
    • Network-building activities

    3. Capability Measures (What Students Become)

    • Problem-solving ability
    • Communication and collaboration
    • Adaptability and resilience
    • Entrepreneurial thinking

    Outcome measures (employment, salary) should still exist—but as one part of a broader system.

    This shifts the focus from what happened to how it happened.

    Embedding Employability, Not Bolting It On

    One of the most persistent challenges is that employability is often treated as an add-on rather than a core function.

    Careers services operate in parallel to academic departments. Workshops are optional. Engagement is uneven.

    This model does not work.

    Employability must be embedded into the curriculum itself:

    • Assessment linked to real-world problems
    • Industry projects integrated into modules
    • Reflection on skills and development built into learning
    • Continuous exposure to professional contexts

    This requires a fundamental shift in how universities design education.

    It also requires academic staff to see employability not as an external requirement—but as part of their core role.

    The Role of Data: From Reporting to Insight

    Universities are not short of data. The problem is how it is used.

    Most employability data is designed for reporting—to regulators, rankings, and stakeholders. It is retrospective and static.

    What is needed is developmental data:

    • Real-time insights into student engagement
    • Tracking of capability development over time
    • Identification of at-risk students early
    • Feedback loops that inform intervention

    This is where systems such as integrated dashboards, longitudinal tracking, and learning analytics become critical.

    But the purpose must be clear: not to produce better reports, but to enable better decisions.

    The Equity Dimension

    Current employability metrics also obscure issues of equity.

    Students from disadvantaged backgrounds often face structural barriers:

    • Limited access to networks
    • Financial constraints limiting unpaid opportunities
    • Lower confidence in professional environments
    • Fewer role models

    If universities are judged purely on outcomes, there is little incentive to address these deeper issues.

    A capability-based model, by contrast, allows institutions to:

    • Identify gaps early
    • Target support where it is needed most
    • Measure progress in a more nuanced way

    This is not just a measurement issue—it is a question of fairness.

    Entrepreneurship: The Missing Piece

    Another major omission in employability measurement is entrepreneurship.

    Most frameworks assume that success means entering employment. But for many students, particularly in a changing economy, value creation may take different forms:

    • Starting a business
    • Freelancing or portfolio careers
    • Creating social enterprises
    • Innovating within organisations

    Entrepreneurial capability is increasingly central to employability. It includes:

    • Opportunity recognition
    • Resource mobilisation
    • Risk management
    • Value creation

    Yet it is rarely measured explicitly.

    This reflects a deeper issue: universities are still operating with an industrial-era model of employment, while the economy is moving towards a more fluid, entrepreneurial reality.

    Towards a More Honest System

    Fixing employability measurement does not require abandoning metrics. It requires making them more honest.

    An honest system would:

    • Acknowledge the limits of outcome data
    • Measure capability development explicitly
    • Track student engagement over time
    • Reflect the diversity of career pathways
    • Prioritise long-term outcomes over short-term wins

    It would also require regulators and rankings to evolve—moving beyond simplistic indicators towards more nuanced frameworks.

    Conclusion: From Metrics to Meaning

    The current approach to employability measurement is not failing because it lacks data. It is failing because it is measuring the wrong things.

    By focusing on outcomes rather than systems, employment rather than capability, and short-term metrics rather than long-term development, universities have created a model that is easy to report—but difficult to defend.

    If we are serious about preparing students for a complex, uncertain, and rapidly changing world, we need to rethink what employability means—and how it is measured.

    This is not just a technical adjustment. It is a strategic shift.

    Because in the end, employability is not about whether a graduate gets a job.

    It is about whether they can build a career, create value, and adapt over time.

    And that is something no single metric can capture—but a well-designed system can support.

  • From Degree to Work: The Broken Transition System

    From Degree to Work: The Broken Transition System

    For decades, higher education has been sold on a simple promise: earn a degree, and better career opportunities will follow. This narrative has shaped student expectations, institutional strategies, and government policy alike. Yet, for many graduates today, the transition from university to work is anything but smooth.

    Instead of a clear pathway, graduates encounter a fragmented, uncertain, and often frustrating journey into employment. The issue is not a lack of talent, ambition, or even opportunity. The problem is systemic.

    The transition from degree to work is broken—and it requires urgent redesign.

    The Myth of the Linear Pathway

    At the core of the problem is an outdated assumption: that education leads directly to employment in a linear, step by step, predictable way.

    This model assumes:

    • Students acquire knowledge
    • They graduate
    • They enter relevant employment

    In reality, graduate pathways are far more complex. Careers are increasingly:

    • Non-linear
    • Iterative
    • Influenced by networks, experience, and timing

    Graduates often move through multiple roles, sectors, and learning experiences before finding alignment. The expectation of a seamless transition is not only unrealistic—it sets students up for disappointment.

    A Structural Disconnect Between Education and Work

    One of the most significant issues is the disconnect between what universities deliver and what employers need.

    Universities excel at:

    • Delivering theoretical knowledge
    • Developing critical thinking
    • Advancing disciplinary expertise

    Employers, however, often prioritise:

    • Practical experience
    • Workplace behaviours
    • Adaptability and problem-solving
    • Commercial awareness

    This is not a failure of universities per se. It is a failure of alignment.

    The system operates in silos:

    • Universities design curricula independently
    • Employers articulate needs inconsistently
    • Policymakers attempt to bridge the gap through metrics and incentives

    The result is a misaligned ecosystem where graduates must navigate the space between education and employment largely on their own.

    Experience as the New Currency

    Increasingly, employers are not just asking, “What degree do you have?” but “What have you done?”

    Work experience has become a critical differentiator:

    • Internships
    • Placements
    • Part-time work
    • Projects and portfolios

    Yet access to these opportunities is uneven.

    Students from more advantaged backgrounds are more likely to:

    • Secure unpaid internships
    • Leverage personal networks
    • Gain early exposure to professional environments

    Those without these advantages face structural barriers, reinforcing inequality in graduate outcomes.

    In effect, the system rewards prior access to opportunity rather than potential.

    The Hidden Curriculum

    Much of what determines success in the transition to work is not formally taught.

    Graduates must learn to:

    • Navigate recruitment processes
    • Build professional networks
    • Communicate their value
    • Understand workplace norms

    This “hidden curriculum” is often acquired informally, through:

    • Family connections
    • Social capital
    • Prior exposure to professional environments

    Students who lack this background are at a disadvantage, regardless of their academic ability.

    Universities have made efforts to address this through employability programmes, but these are often:

    • Optional
    • Peripheral to core study
    • Insufficiently embedded

    Fragmented Support Systems

    Support for the transition from degree to work is often fragmented across institutions.

    Students may encounter:

    • Careers services
    • Academic advisors
    • External programmes
    • Employer initiatives

    However, these are rarely integrated into a coherent journey.

    Common issues include:

    • Late engagement (often in final year)
    • Lack of personalisation
    • Limited continuity

    As a result, students are expected to piece together their own pathway, often without the guidance or confidence to do so effectively.

    The Role of Metrics and Incentives

    Ironically, efforts to improve graduate outcomes have sometimes exacerbated the problem.

    Metrics that focus on short-term employment outcomes encourage universities to:

    • Prioritise immediate job placement
    • Focus on measurable outputs
    • Treat employability as a compliance issue

    This can lead to:

    • Superficial interventions
    • Reduced emphasis on long-term capability development
    • A narrow definition of success

    Instead of transforming the system, metrics often reinforce its limitations.

    Regional Inequality and Labour Market Realities

    The transition from degree to work is also shaped by geography.

    Graduates in regions with:

    • Strong labour markets
    • Diverse industries
    • High levels of investment

    have greater opportunities.

    Those in less economically dynamic areas face:

    • Fewer graduate-level roles
    • Lower wages
    • Limited career progression

    Universities cannot control regional economies, yet they are often judged as if they can.

    This creates a structural imbalance that disproportionately affects certain institutions and student groups.

    The Rise of Alternative Pathways

    At the same time, the nature of work itself is changing.

    Traditional career pathways are being complemented—or replaced—by:

    • Freelancing and gig work
    • Entrepreneurship
    • Portfolio careers
    • Remote and global opportunities

    These pathways offer flexibility and innovation but are poorly reflected in traditional transition systems.

    Graduates pursuing these routes may appear “unsuccessful” in conventional metrics, even when they are building viable and meaningful careers.

    Towards a Redesigned Transition System

    If the current system is broken, what would a better model look like?

    A redesigned transition system must move beyond the idea of a single handover point between education and employment. Instead, it should be understood as a continuous, integrated process.

    1. Early and Embedded Employability

    Employability should not be an add-on—it should be embedded from day one.

    This includes:

    • Real-world projects within courses
    • Industry engagement in curriculum design
    • Continuous reflection on skills and development

    2. Experience for All

    Access to meaningful experience must be universal, not selective.

    This could involve:

    • Guaranteed placements or project-based learning
    • Partnerships with employers
    • Simulation-based learning environments

    3. Integrated Support Systems

    Universities need to create coherent, personalised support journeys.

    This means:

    • Aligning academic, careers, and external support
    • Providing consistent guidance over time
    • Using data to tailor interventions

    4. Recognition of Diverse Pathways

    The system must recognise that success takes many forms.

    This requires:

    • Valuing entrepreneurship and self-employment
    • Supporting alternative career models
    • Expanding definitions of graduate success

    5. Stronger Ecosystem Collaboration

    The transition from degree to work cannot be solved by universities alone.

    It requires collaboration between:

    • Universities
    • Employers
    • Policymakers
    • Regional stakeholders

    This is fundamentally an ecosystem challenge.

    Reframing the Transition

    Perhaps the most important shift is conceptual.

    The transition from degree to work should not be seen as:

    • A single moment
    • A final outcome

    But as:

    • A developmental journey
    • A process of exploration and growth

    Graduates are not products moving through a pipeline. They are individuals navigating complex, evolving careers.

    Conclusion

    The promise of higher education remains powerful, but the pathway from degree to work no longer reflects the realities of the modern world.

    The system is not failing because graduates are unprepared or institutions are ineffective. It is failing because it is built on outdated assumptions, fragmented structures, and narrow definitions of success.

    Fixing this requires more than incremental change. It requires a fundamental redesign—one that recognises the complexity of careers, the diversity of pathways, and the importance of capability over short-term outcomes.

    Because the goal is not simply to help graduates get their first job.

    It is to equip them to build meaningful, sustainable careers in a world that is constantly changing.

  • Why Employability Metrics Are Failing Universities

    Why Employability Metrics Are Failing Universities

    Universities are under increasing pressure to demonstrate that their graduates secure meaningful employment. In response, governments and regulators have embedded employability metrics into performance frameworks, funding models, and league tables. In the UK, for example, graduate outcomes (B3) data has become a central feature of regulatory oversight and institutional strategy.

    On the surface, this seems entirely reasonable. Students invest significant time and money into higher education, and they expect a return in the form of improved career prospects. Policymakers, in turn, want assurance that universities are delivering value.

    Yet, despite this growing emphasis, a fundamental problem persists:

    Employability metrics, as currently designed, are failing universities—and more importantly, they are failing students.

    The Illusion of Measurement

    At the heart of the issue lies a simple but powerful question: what exactly are we measuring?

    Most employability metrics rely on narrow indicators such as:

    • Graduate employment rates
    • Salaries after 15 months
    • Job classification (e.g. “professional” roles)(Don’t ask me about Models)

    While these measures provide a snapshot, they do not capture the complexity of graduate outcomes.

    Employment is not a binary state. Nor is it a static endpoint. Careers evolve over time, often through nonlinear and unpredictable pathways. By reducing employability to short-term outcomes, metrics create an illusion of precision while obscuring the reality of graduate transitions.

    The Timing Problem

    One of the most widely used measures in the UK is based on graduate destinations approximately 15 months after completion. This timeframe is deeply problematic.

    Many graduates:

    • Pursue further study
    • Start businesses (which at 15 months is traveling through the valley of death)
    • Take interim roles while exploring career options
    • Enter industries with longer entry pathways

    For these individuals, early outcomes may appear weak, even though their long-term trajectories are strong.

    The result is a systematic distortion: universities are judged on when outcomes occur, rather than how meaningful those outcomes ultimately become.

    Penalising the Wrong Institutions

    Employability metrics often fail to account for differences in student demographics and institutional missions.

    Universities that:

    • Serve widening participation students
    • Operate in economically disadvantaged regions
    • Recruit non-traditional learners

    are frequently penalised.

    These institutions play a critical role in social mobility, yet their graduates may face structural barriers in the labour market. Lower short-term employment outcomes do not necessarily reflect poor educational quality—they often reflect inequality in opportunity.

    By ignoring context, current metrics risk reinforcing the very inequalities they are meant to address.

    The Narrow Definition of Success

    Another major limitation is the narrow definition of what constitutes “success.”

    Metrics typically prioritise:

    • Full-time employment
    • High salaries
    • Traditional career pathways (Occupation codes last changed on 4 April 2024)

    However, this excludes a wide range of valuable outcomes, including:

    • Entrepreneurship and self-employment
    • Portfolio careers
    • Social impact work
    • Creative and cultural industries

    In an economy increasingly characterised by flexibility and diversity, these pathways are not marginal—they are central.

    Yet, because they do not fit neatly into existing metrics, they are often undervalued or ignored.

    Behavioural Distortions

    Perhaps the most concerning consequence of current employability metrics is how they shape institutional behaviour.

    When universities are measured on specific indicators, they naturally optimise for those indicators.

    This can lead to:

    • Overemphasis on short-term job outcomes
    • Strategic steering of students towards “safe” careers
    • Reduced support for entrepreneurship or risk-taking
    • Gaming of data through selective reporting or classification

    In extreme cases, employability becomes less about empowering students and more about managing metrics.

    This is a classic example of Goodhart’s Law:
    When a measure becomes a target, it ceases to be a good measure.

    The Missing Middle: Capability Development

    One of the most significant gaps in current frameworks is the absence of capability-based measures.

    Employability is not just about outcomes; it is about:

    • Skills development
    • Confidence and agency
    • Networks and social capital
    • The ability to navigate uncertainty

    These capabilities are developed over time and are often invisible in traditional metrics.

    For example, a student who:

    • Builds strong professional networks
    • Develops entrepreneurial skills
    • Gains meaningful project experience

    may be highly employable, even if their first job is not immediately “high status.”

    By focusing only on outcomes, metrics ignore the underlying processes that drive long-term success.

    Regional and Structural Blind Spots

    Employability metrics also fail to account for regional economic conditions.

    Graduates in areas with:

    • Limited job opportunities
    • Lower average wages
    • Sectoral decline

    are inherently disadvantaged in outcome-based measures.

    Universities cannot control local labour markets, yet they are judged as if they can.

    This creates a disconnect between:

    • Institutional performance
    • Regional economic realities

    and further disadvantages institutions located outside major economic hubs.

    Data Without Insight

    Another challenge is the overreliance on quantitative data without sufficient qualitative insight.

    Large-scale surveys provide valuable information, but they often lack depth. They do not capture:

    • Graduate experiences
    • Career aspirations
    • Barriers faced
    • Non-linear pathways

    Without this context, data can be misleading.

    For example, a graduate in a “non-professional” role may be:

    • Building experience in a chosen field
    • Transitioning between careers
    • Prioritising personal circumstances

    Yet, the metric records this simply as a negative outcome.

    Towards Better Employability Measures

    If current metrics are failing, what should replace them?

    A more effective approach would involve a shift from outcomes-only measurement to a multi-dimensional framework.

    1. Longitudinal Tracking

    Instead of focusing on short-term outcomes, metrics should track graduates over time:

    • 3 years
    • 5 years
    • 10 years

    This would provide a more accurate picture of career development.

    2. Contextualisation

    Metrics must account for:

    • Student demographics
    • Regional economic conditions
    • Institutional mission

    This would create fairer comparisons and more meaningful insights.

    3. Inclusion of Diverse Pathways

    Entrepreneurship, self-employment, and portfolio careers should be fully recognised and valued.

    This requires:

    • New classification systems
    • Better data collection methods

    4. Capability-Based Indicators

    Universities should be assessed on their ability to develop:

    • Skills
    • Networks
    • Confidence
    • Career management capabilities

    These are the foundations of employability.

    5. Integration with Skills Frameworks

    Linking outcomes to frameworks such as ESCO (European Skills, Competences, Qualifications and Occupations) would enable:

    • Better alignment with labour market needs
    • More granular analysis of skills development

    Reframing the Purpose of Employability

    Ultimately, the issue is not just technical—it is philosophical.

    What is the purpose of higher education?

    If employability is reduced to:

    • Immediate job outcomes
    • Salary levels

    then universities become training providers for the labour market.

    But higher education has a broader role:

    • Developing critical thinkers
    • Enabling social mobility
    • Fostering innovation and entrepreneurship
    • Contributing to society

    Employability should be understood as the capacity to create value over a lifetime, not just secure a job in the short term.

    Conclusion

    Employability metrics were introduced with good intentions: to ensure accountability, improve outcomes, and provide transparency.

    However, in their current form, they fall short.

    They:

    • Oversimplify complex realities
    • Ignore context
    • Distort behaviour
    • Undervalue diverse pathways

    Most importantly, they fail to capture what truly matters: the long-term ability of graduates to navigate, contribute to, and shape an ever-changing world.

    If universities are to fulfil their role in society, we must move beyond narrow metrics and embrace a richer, more nuanced understanding of employability.

    Because the goal is not just to produce graduates who get jobs.

    It is to develop individuals who can build careers, create opportunities, and drive the future of our economies.

  • Ten Cultural Shifts to Make the UK More Entrepreneurial Ahead of the Budget

    Ten Cultural Shifts to Make the UK More Entrepreneurial Ahead of the Budget

    As we approach the upcoming UK Budget, there is a growing call to foster a more entrepreneurial culture across the country as the current press and politics is centred around a negative view point of business, owners and entreprenurs.

    While economic policies will play a key role, creating a lasting entrepreneurial mindset requires cultural shifts that can empower individuals to take risks, innovate, and turn their ideas into thriving businesses.

    So, here are ten ways the UK could redesign our culture to promote entrepreneurship:

    1. Embrace a Risk-Taking Mindset

    In the UK, failure is often viewed negatively, but in entrepreneurship, failure is all part of the journey. To build a more entrepreneurial society, we need to change the perception of failure from something to be feared to something that offers valuable lessons. If risk-taking becomes celebrated, more people will feel encouraged to start their own ventures without the fear of judgment.

    2. Embed Entrepreneurship in Education

    Entrepreneurship should be a cornerstone of our education system. By integrating entrepreneurial thinking into the curriculum from primary school through university, students can learn how to identify opportunities, take initiative, and solve real-world problems. Practical experiences, such as starting small businesses or participating in startup projects, can equip students with the skills and confidence to become future business leaders. Take a look at this blog for more detail.

    3. Encourage Creativity and Innovation

    Innovation drives entrepreneurship, and to cultivate that, we need to promote creativity at all levels. Whether in schools, workplaces, or community spaces, creative problem-solving and the ability to think outside the box should be celebrated. Businesses and institutions must support and reward innovative ideas, not just in tech but across all sectors.

    4. Redefine Career Paths

    The traditional linear career path—school, university, career—no longer fits the evolving world of work. A more entrepreneurial culture should embrace flexible career paths, where individuals feel empowered to pivot, explore, and start businesses at any stage in their lives. The student loan system, the use of mirco credits and more flexible live long learning is needed now. Whether you’re a graduate or a retiree, there should be encouragement and support to embark on entrepreneurial endeavours.

    5. Highlight Diverse Success Stories

    To inspire the next generation of entrepreneurs, we need a broader range of role models. Media and public campaigns should celebrate success stories from all walks of life, not just the well-known tech entrepreneurs. Showcasing entrepreneurs from different backgrounds, industries, and regions will make entrepreneurship feel more accessible and inclusive.

    6. Promote Collaboration Over Competition

    Entrepreneurship doesn’t have to be a solo journey. A more collaborative culture, where people share resources, ideas, and knowledge, can drive innovation forward. Encouraging co-working spaces, business hubs, and mentorship networks can foster an environment where entrepreneurs support each other rather than compete. Collaboration fuels creativity and growth.

    7. Improve Financial Literacy and Access to Capital

    Financial literacy is crucial for entrepreneurship. People need to understand how to manage money, secure funding, and make informed financial decisions. In addition to education, there needs to be easier access to funding, whether through micro-credits, peer-to-peer lending, or venture capital. Financial resources must be made more available to those with great ideas but limited means.

    8. Simplify Regulations and Bureaucracy

    Starting and running a business can often feel overwhelming due to complex regulations and administrative hurdles. By simplifying tax systems and reducing red tape, we can make it easier for entrepreneurs to focus on what really matters—growing their businesses. The government has a role to play here, ensuring that startup founders can access grants, incentives, and support without unnecessary delays or obstacles.

    9. Support a Healthy Work-Life Balance for Entrepreneurs

    There’s a common stereotype that entrepreneurs need to sacrifice everything—sleep, social life, even family time—to succeed. While hard work is important, burnout can deter many from pursuing entrepreneurial dreams. By promoting a healthier work-life balance and offering mental health support for entrepreneurs, we can encourage more people to take the leap without compromising their well-being.

    10. Build a Culture of Mentorship and Peer Support

    Mentorship is one of the most valuable resources for entrepreneurs, but it’s often underutilized. If we create a culture where experienced entrepreneurs are willing and encouraged to mentor up-and-coming talent, it will strengthen the entrepreneurial ecosystem. This peer support can be the key to success for many new businesses, helping to guide them through challenges and growth stages.

    A Cultural Shift for Economic Growth

    As we look to the future, the UK still has the potential to become a leading entrepreneurial nation. But it won’t happen through policy alone—cultural change is essential. By embracing risk, supporting creativity, and building systems that nurture entrepreneurship, we can create a thriving, innovative economy. With the right changes, we can inspire the next wave of UK entrepreneurs and position the country as a global leader in innovation and enterprise.

    As the UK Budget approaches, let’s take this opportunity to reflect on not only the financial measures needed but also the cultural transformation that can unlock the entrepreneurial potential within our society. The future of UK business could be brighter than ever.

  • Entrepreneurship Education in the UK: Impact and Future Research Directions

    Entrepreneurship Education in the UK: Impact and Future Research Directions

    Dive into the world of entrepreneurship education in the UK. This blog post unpacks the key findings from a recent study, analyzing the real impact nationally of Entrepreneurship Education Programmes (EEP) on students and identifying future research areas.

    Entrepreneurship education has become a cornerstone in shaping the business leaders of tomorrow. But, how effective is it, really? This recent study I conducted with colleagues delved into this question, examining UK’s undergraduate entrepreneurship programmes. Let’s uncover what they found and what it means for the future.

    The research article is titled “Does Entrepreneurship Education Deliver? A Review of Entrepreneurship Education University Programmes in the UK” and explores the impact of undergraduate entrepreneurship education programs (EEPs) in the UK. It examines the structure, student satisfaction, and outcomes of these programmes. The study is conducted using publicly available data and aims to offer insights on the effectiveness of EEPs in terms of student continuation, satisfaction, and employability. The paper contributes new findings to the field, particularly relevant for researchers, educators, and policymakers involved in entrepreneurship education. For more details, you can view the full article here.

    The article concludes that while Entrepreneurship Education Programmes (EEPs) in UK universities are generally well-received by students, their effectiveness in enhancing employability and entrepreneurial skills varies. The study highlights the need for a more standardized approach in evaluating these programmes and suggests a greater emphasis on practical, experiential learning to improve outcomes. It also points out the potential for these programmes to better align with industry requirements and entrepreneurial ecosystems.

    For a comprehensive understanding, don’t forget to check out the full study here.