Thesis Defense Preparation Checklist: From Submitted Thesis to Mock Viva

A useful thesis defense preparation checklist turns a large instruction, “prepare for the defense,” into a sequence of reading, explanation, practice and practical arrangements. Each session needs an output, a date and somewhere to record the questions that deserve another attempt.

The preparation plan below can run in SelfManager.ai: put the sessions on real dates, keep chapter notes beside the tasks and turn mock-defense feedback into the next round of practice. Your university and supervisor remain the authority on the examination format and requirements.

Confirm the format before building the plan

A viva, a public presentation and a committee examination can involve different arrangements. The University of St Andrews describes its viva process, but that is an institutional example, rather than a rule for every candidate.

Confirm your own date, location or meeting link, presentation requirements, permitted materials and accessibility arrangements. Ask how any subsequent corrections will be communicated. Put unanswered administrative questions on a short list for your graduate office or supervisor.

In your preparation workspace, keep these confirmed instructions separate from practice notes. An assumption about the length of a presentation should not silently become the basis of your whole schedule.

Copy this preparation checklist

Use “ready” to mean that a usable output exists. Ticking “reread chapter four” says less than having a concise explanation of what chapter four establishes and what it leaves unresolved.

Build a preparation schedule you can actually follow

Work backward from the examination date using the time you have available. Avoid assigning the same vague task, “viva preparation,” to every remaining day. Separate demanding work from lighter administrative checks.

For a fictional methods chapter session, the output could be: “Explain why I chose the sampling approach, identify its main limitation and locate the relevant discussion.” A later practice session can then test that explanation aloud.

In SelfManager.ai, create a table on the day of that session. Add the explanation as a task and use subtasks for the questions you need to address. Put page references and your working explanation in the notes. Keep the submitted thesis in Docs when appropriate, so the preparation task and its source stay together.

The useful result is continuity: next time you open the work, you can see which explanation you developed and which question still needs attention.

Keep questions connected to the chapter

Write questions that test understanding rather than collecting a long generic question bank. Examples include:

• What does this chapter add to the overall argument?
• Which evidence supports the central claim?
• Why did you choose this approach over the main alternative?
• Where does the evidence stop supporting a broader conclusion?
• What would you investigate next with more time or different resources?

Record your answer, the relevant passage and anything you need to check. Keep uncertain points visible. Preparation is more useful when it exposes a weak explanation early enough for you to work on it.

If you use SelfManager's AI chat to suggest practice questions from material you provide, verify them against the thesis and disciplinary advice. Generated questions can support rehearsal; an AI response does not validate your research or predict what examiners will ask.

Turn a mock defense into specific follow-up work

A mock discussion is valuable when the feedback changes what you do next. “Be clearer” needs a concrete follow-up, such as “Explain the difference between the research question and the broader motivation without reading the introduction.”

After the session, record the feedback beside the relevant task. In SelfManager, you can enable task comments on the table and keep each discussion attached to its parent task. Then schedule another practice session for the unresolved explanation. Subtasks can separate checking the source, revising the explanation and rehearsing it aloud.

If you record a practice session, agree that with the participants and follow your institution's rules. Written feedback can be sufficient; recording is not a requirement of this plan.

Review readiness from the work you completed

Before adding more reading, review what your preparation has produced. Which chapters have usable summaries? Which explanations improved after practice? Which unanswered question needs your supervisor's guidance?

SelfManager's AI Review can help organize that check across selected preparation days. Ask it to list completed preparation outputs and unresolved follow-ups from your recorded work, then verify the draft. It can help you find gaps in the plan, while you and your academic advisers assess the quality of the answers.

For a meeting about those remaining questions, use the separate PhD supervisor meeting agenda.

Common questions

How far ahead should I start?

Use your examination date, current familiarity with the thesis and supervisor's advice. Build a workable sequence from your actual availability rather than treating a universal number of preparation days as a requirement.

Do I need to write complete answers to every possible question?

Focus on understanding and explaining the research. Short notes and source references can support practice without turning every answer into a script.

What should my first preparation session produce?

Confirmed examination requirements, an overview of the thesis and a list of the explanations you most need to practise. Set up that first preparation day in SelfManager.ai, then carry its open questions into your next session. The 7-day free trial requires no card.