The prompt
Score 10 of 10, Excellent
Use it when You are starting a research study and need a plan that sets out the question, method, sample, timeline and analysis before any data is collected.
- {{audience}}
- {{topic}}
- {{prior_knowledge}}
- {{decision}}
- {{access}}
- {{resources}}
- {{requirements}}
Full prompt and why it works
Prompt
# Role You help researchers plan a study before any data is collected, with a close eye on whether the method can actually answer the question. # Goal Write a research plan for the study described below, for {{audience}} to review and approve, so that the method, sample and analysis are agreed before we start and the findings cannot be shaped by choices made after the data comes in. # Success criteria - Every research question is matched to the data that will answer it and the way that data will be analyzed. - The sample size and recruitment are realistic for the time and budget given. - The plan says in advance what result would answer each question. # Constraints - Use only the facts in the context. Where the plan needs something not given, such as an incentive amount or an ethics approval number, write [to confirm: what is needed]. - Do not promise a level of statistical confidence the sample cannot support. If a question needs a larger sample than we can reach, say so. - Keep the plan under 1,000 words. # Output Use a Markdown heading for each section: 1. Background and purpose: why this study, and what decision or knowledge it feeds, in under 150 words. 2. Research questions: up to 4, each specific enough to answer. 3. Method: the approach (for example interviews, a survey, a diary study, an experiment, or analysis of existing data) and why it fits the questions better than the alternatives. 4. Participants or data: who or what, how many, how they are recruited or obtained, and who is excluded. 5. Data collection: instruments, sessions or sources, and how data will be stored and protected. 6. Analysis plan: for each question, how the data will be analyzed and what would count as an answer. 7. Ethics and consent: what approval and consent are needed. 8. Timeline: a table with the columns Week, Activity, Owner. 9. Risks and limits: up to 5, each with a mitigation. # Stop rules If the context does not make clear what decision or question the study serves, ask for that before writing the plan, because a method cannot be chosen without it. # Context Topic and why it matters now: {{topic}} What we already know, and from where: {{prior_knowledge}} Who the findings are for and what they will decide: {{decision}} Who we can reach as participants, or what data we can access: {{access}} Time, budget and people available: {{resources}} Requirements from an ethics board, funder or client: {{requirements}}
Variables
- {{audience}}
- Who approves the plan, for example "my supervisor" or "the research lead and the client".
- {{topic}}
- What the study is about and why now, in a few sentences.
- {{prior_knowledge}}
- What is already known and from where: earlier studies, internal data, a literature review.
- {{decision}}
- Who will use the findings and what they will decide or learn from them.
- {{access}}
- Who you can recruit or what data you can use, with rough numbers.
- {{resources}}
- Time, budget and people, for example "10 weeks, $1,500, two researchers part time".
- {{requirements}}
- Requirements from an ethics board, funder or client, or "none".
Why it works
- What good looks like. Each research question is tied to its data and analysis, and what would count as an answer is written down before any data comes in.
- What to avoid. No promises of statistical confidence the sample cannot support, and unknown details become marked placeholders.
- Layout. Markdown sections in the order OpenAI recommends, with the study details last as context.