What is this diagnostic?
An Assessment & AI Workflow Diagnostic is a structured review of how assessment, marking, moderation and feedback currently work across a course, department, faculty or institution. It helps identify friction points, risks, inconsistencies, workload pressures and opportunities for improvement.
A useful review looks beyond assessment design alone. It considers academic practice, operational workflows, student experience, digital systems, staff confidence, and implementation realities.
When this is useful
This is a good starting point when:
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assessment and feedback processes feel inconsistent
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a platform or process change is being considered
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staff adoption feels uneven
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AI is creating uncertainty around practice, workload, or risk
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leadership wants a clear picture before committing to a larger programme of change
Why a diagnostic?
A focused diagnostic helps your institution understand where assessment and feedback processes are working, where friction is building, and what needs attention first.
It is designed for universities navigating AI-related uncertainty, staff workload concerns, inconsistent feedback practice, marking and moderation complexity, Moodle/platform issues, or uneven staff adoption.
The purpose is practical: to give you a clearer picture of what is happening, where the real risks sit, and which next steps would make the most difference.
Who this is for
This diagnostic is useful for:
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digital education teams;
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assessment and quality teams;
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academic development teams;
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registry or professional services colleagues;
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programme, department or faculty leads;
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project teams preparing for assessment, platform or AI-related change.
What you get
Depending on scope, the diagnostic can include:
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stakeholder conversations;
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assessment and feedback process review;
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workflow mapping;
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marking, moderation and feedback friction analysis;
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Moodle/platform use review;
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AI-era risk and opportunity scan;
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staff adoption and guidance review;
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quick wins and deeper redesign priorities.
Typical timeline
Most diagnostics take 3–6 weeks, depending on scope.
When this fits
This fits when your institution needs a clear starting point before committing to a larger project.
It is often useful when:
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AI is creating uncertainty around assessment design, feedback, marking workload, academic integrity or student guidance;
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assessment, marking or moderation processes vary significantly by department, programme or assessment type;
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Moodle, platform or supplier decisions are being slowed by unclear requirements, fragmented workflows or local workarounds;
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staff are spending time on avoidable admin, repeated checking, manual grade handling or unclear handoffs;
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leaders need a clearer 90-day plan before committing to a tool, pilot or wider programme of change;
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a department is unsure whether the next step is assessment redesign, workflow redesign, a tool pilot, Moodle support or clearer guidance.
The diagnostic is designed to help you see what is happening now, where effort is being lost, where judgement needs better support, and which next step would be most useful.
Typical outputs
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Diagnostic findings summary
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Workflow and friction map
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Risk and opportunity analysis
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Prioritised recommendations
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90-day action plan
Related work
See also: