dissertation-writing-process

name	dissertation-writing-process
description	Use when planning, drafting, reviewing, or formatting a dissertation from research question through defence-ready manuscript; use academic-writing for prose originality and research-design for method selection.
metadata	{"portable":true,"compatible_with":["claude-code","codex"]}

Dissertation Writing Process

Run dissertation work as a sequence of evidence-bearing chapters, not as a single writing sprint. This skill covers planning, literature organisation, chapter logic, methods, findings, discussion, references, formatting, and responsible use of generative AI.

Use When

• A thesis or dissertation needs a plan from research question to final formatting.
• A candidate has sources and notes but no defensible literature argument or chapter sequence.
• Methods, findings, and discussion need to remain aligned with research questions.
• AI assistance is being considered for drafting, editing, discovery, or analysis.

Do Not Use When

• The task is a single citation or source check; use source-verification.
• The method or sampling design is the primary unresolved decision; use research-design first.
• The request is ordinary copy-editing without a dissertation structure; use academic-writing.

Inputs

Input	Required	Purpose
Research question, contribution, and institutional rules	yes	Bound the manuscript
Source library and literature notes	yes	Build a traceable argument
Approved or proposed methodology	conditional	Align methods, results, and limitations
Supervisor or ethics requirements	conditional	Prevent an unapproved or unusable submission

Outputs

Artefact	Consumer	Acceptance condition
Dissertation production plan	Candidate and supervisor	Chapter milestones, review points, dependencies, and stop conditions are explicit
Chapter evidence map	Candidate and examiner	Each question links to literature, method, evidence, finding, discussion, and limitation
Source, citation, originality, AI-use, and final-formatting record	Candidate, supervisor, and institution	Required checks are executed or each unresolved gate is marked NOT ASSESSED

Non-negotiables

• Keep a literature database and annotated bibliography; do not draft from an open source window.
• Every research question must map to evidence, analysis, findings, discussion, and a limitation.
• Separate participant evidence, author interpretation, synthesis, and recommendation.
• State assumptions, delimitations, access gaps, positionality, and unresolved uncertainty.
• Follow the institution's current formatting and ethics rules; the book's workflow is not a substitute for them.

Decision Rules

Condition	Action	Failure or risk avoided
Question, contribution, or audience is unclear	Stop drafting and resolve the problem frame	A fluent manuscript with no defensible contribution
Literature is broad but unstructured	Build the source database, annotated bibliography, and argument map first	A source catalogue without an argument
Method cannot produce evidence for a question	Narrow the question or redesign the method	Unsupported conclusions
Findings contain themes or statistics not linked to a question	Re-map the chapter before interpreting results	Interpretation detached from evidence
AI output affects a claim, method, analysis, or citation	Verify independently, disclose the use where required, and retain the human decision record	Unverified claims, hidden authorship, or citation error
Institutional rule conflicts with generic writing guidance	Follow the verified institutional rule and record the exception	Non-compliant submission

Workflow

1. Frame the problem, purpose, questions, significance, terms, assumptions, limitations, delimitations, audience, and institutional constraints.
2. Build a searchable literature database and annotated bibliography. Record each source's question, method, finding, limitation, relevance, and role in the argument.
3. Plan the introduction as context, problem, purpose, questions, significance, definitions, and boundaries. Choose a background shape that serves the reader: chronological, big-to-small, or cause-and-effect.
4. Write the literature review as an argument. Group sources by the research problem, theory, method, or contradiction; do not produce a source-by-source catalogue.
5. Write the methodology so another researcher can understand design, population, sampling, measures or instruments, collection, analysis, ethics, positionality, and limits.
6. Present findings in the order that answers the questions. Keep description separate from interpretation, show participant or quantitative evidence, and expose missing or contradictory results.
7. Use the discussion to summarise findings, integrate them with the reviewed literature, explain implications, state limitations, and separate practice recommendations from future research.
8. Manage citations continuously, then apply the institution's rules to title page, abstract, contents, lists, tables, figures, references, appendices, page numbers, and submission format.
9. Run source-away originality review, claim-source review, AI-use disclosure, supervisor/ethics checks, and a final question-to-conclusion trace. Stop before submission when a required source, ethics decision, or institutional rule cannot be verified; recover by recording the gap and revising the affected claim or chapter.

Anti-patterns

• Writing the literature review as annotated summaries with no argument. Fix: organise by the problem, theory, method, or contradiction.
• Treating fluent AI prose as evidence of originality. Fix: draft from verified notes and run source-away review.
• Letting a method chapter promise analysis the dataset cannot support. Fix: reconcile questions, measures, access, and analysis before collection.
• Reporting findings and recommendations without a question link. Fix: label the question, evidence, interpretation, and implication.
• Treating a citation manager as proof that a source supports a claim. Fix: inspect the source and record its evidentiary role.
• Ignoring institutional formatting or ethics rules until the final day. Fix: add them as early production gates.

Read next

• academic-writing for originality, synthesis, voice, and citation prose.
• research-design for method, case, sampling, and feasibility decisions.
• evidence-claim-graph for traceable claim-to-source relationships.
• peer-review-loop for supervisor and independent review cycles.
• source-verification for current or high-stakes source claims.

References

• Dissertation evidence workflow

Capability Contract

Read and search are required. Editing is allowed for an authorised research workflow. Execution is preferred for citation, originality, and document checks.

Degraded Mode

If institutional rules, ethics approval, source access, or supervisor evidence is unavailable, produce a qualified plan and mark the affected gate NOT ASSESSED.

Evidence Produced

Evidence	Acceptance condition
Chapter evidence map	Every question connects to evidence, analysis, findings, and limitations
Source and originality record	Claims, paraphrases, quotations, and synthesis remain distinguishable
Final-format and review record	Institution-specific checks are executed or explicitly unresolved

Quality Standards

• Every research question has a visible path to evidence, analysis, finding, discussion, and limitation.
• Literature review sections make an argument and distinguish synthesis from source summary.
• Methods expose design, sampling, instruments, analysis, ethics, positionality, and limits.
• Claims, citations, quotations, AI assistance, and unresolved uncertainty remain traceable.
• Formatting and ethics checks are verified against the institution's current requirements.

Worked Example

For a dissertation on NGO cyber resilience, frame one question about the controls that reduce mission harm, build an annotated source database, and map each source to the literature argument. Select a feasible mixed-method design, show sampling and ethics, report findings in question order, then use the discussion to connect results to literature, limitations, and separately labelled practice recommendations.