Tag: professional development

  • 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.

  • Best Practices in PhD Supervision

    Best Practices in PhD Supervision

    Many people who have completed a PhD or are currently undertaking one, don’t speak highly of their supervisor. I was recently talking to someone who is examining a PhD and their comments were not very positive about how the supervisor had supported the student to create their Thesis. I have also supported PhD students who have had some really bad experiences and gave up on the research.

    There is clearly an issue, as you have to had completed a PhD to supervise, so it seems bad practice is driving further bad practice. So this got me thinking, we need to start talking about what is good practice for PhD supervision?

    Good Practice in Supervising a PhD Student

    Supervisors play a vital role in mentoring, guiding, and supporting students as they navigate the challenges of research and thesis writing. Below, I explore the principles of good practice in PhD supervision, alongside strategies to foster a productive and enriching supervisory relationship.

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    Best Practices in PhD Supervision

    1. Establish a Strong Foundation

    Begin the supervision relationship with clear discussions about expectations, roles, and responsibilities. Formalize these agreements in a supervision plan to ensure mutual understanding. Ensure monthly minuted meetings, discuss issues which lock progress, and set actions for the next month so progress can be mapped out over the longer period.

    At first PhD supervision meeting, I get out a piece of paper, divide the page into three, one for each of the years, add start and finish points and say, this is what we need to do. Then I draw a line which starts very wildly and eventually settles down to get to the end. (See the image on this article.) Then I say, this is the project plan, we are going to make mistakes, we will find blind alleyways, and some things will take a lot longer than we want, but with this project plan, we now know how to get there and what to expect. They then know, firstly you know how this is going to go and will support them to the end, Secondly, you are happy for them to make mistakes as its in the project plan.

    2. Set Clear Milestones

    Work with your student to create a roadmap of key milestones and deliverables, over typically a 3 year period. So broadly, literature review, investigation, writing up. Then breaking these into smaller, manageable goals helps maintain momentum and reduces the risk of overwhelm.

    3. Encourage Independence

    A primary aim of PhD supervision is to foster independent researchers. While guidance is essential, allow students the freedom to make decisions, take risks, and learn from their experiences. This takes different forms, so for example, the literature review may involve looking into parallel fields or new, unproven ideas.

    4. Provide Constructive Feedback

    Offer feedback that is timely, specific, and actionable. Balance critique with encouragement to ensure students remain motivated while improving their work.

    5. Be Accessible and Approachable

    Maintain regular communication (so if they email you, reply within 24/48 hours depending on your SLA) and be available for ad hoc meetings when needed. A supervisor’s approachability can significantly impact a student’s confidence and progress.

    6. Support Professional Development

    Encourage students to engage in activities beyond their thesis, such as presenting at conferences, guest lectures and workshops, publishing research papers, or attending workshops. These opportunities build essential skills and enhance employability whilse build a network of researchers.

    7. Monitor Well-being

    Stay tuned to the emotional and mental well-being of your students. Pursuing a PhD can be stressful, and your support can make a substantial difference during challenging periods.


    Common Mistakes in PhD Supervision

    1. Micromanagement

    Over-involvement in a student’s work can stifle creativity and hinder the development of independent research skills. Balance supporting the pace of the PhD and getting involved in the work.

    2. Lack of Communication

    Irregular or insufficient communication can leave students feeling unsupported and directionless. Regular monthly meetings and updates are crucial.

    3. Overloading Students

    Avoid assigning excessive tasks or responsibilities that detract from the primary focus of their research. Learn to understand the critical path to completing and what activities are not on that path.

    4. Ignoring Administrative Responsibilities

    Familiarize yourself with institutional requirements for progression, ethics, visa regulations and examination to avoid unnecessary delays in the student’s journey.

    5. Failing to Address Conflict

    Address conflicts or misunderstandings promptly. Ignoring issues can lead to long-term strain in the supervisor-student relationship. ‘Eat the Frog’ everyday.


    Tips for Supervisors

    1. Celebrate Milestones Recognize and celebrate achievements, such as completing a chapter, publishing a paper, or presenting at a conference. Positive reinforcement boosts morale.
    2. Encourage Peer Support Promote peer interaction and collaboration. This helps students gain new perspectives and feel part of a research community.
    3. Leverage Technology Use tools like project management software, virtual meeting platforms, and shared document repositories to streamline supervision.
    4. Stay Current Continuously update your knowledge of your field and supervision practices by attending workshops and networking with other supervisors.
    5. Lead by Example Demonstrate professionalism, curiosity, and commitment in your academic endeavors. Your behavior sets a standard for your students.

    Conclusion

    Good PhD supervision is a blend of mentorship, academic guidance, and emotional support. By adopting best practices, avoiding common pitfalls, and tailoring your approach to each student’s needs, you can help them succeed not only in completing their thesis but also in developing as confident and capable researchers. The supervisor-student relationship is a rewarding partnership that, when nurtured effectively, benefits both parties and contributes to the broader academic community.

    👉 Ready to strengthen your PhD application? Explore how I can help here: https://david.bozward.com/phd-application-support/