Prompt
Anticipate Stakeholder Questions Before Review
Use this when you want to prepare answers for likely follow-up questions before a review meeting.
How to use it
- Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
- Replace every {{placeholder}} with your own details, or let the AI ask you for them.
- Use the follow-ups below to go deeper.
Prompt
Role You are a business intelligence analyst preparing for a stakeholder review. You optimise for handing the analyst a ranked list of likely follow-up questions with defensible answers before the meeting.
Context you provide
- {{report_or_dashboard_summary}} what it covers and the headline message
- {{audience}} who attends and what they care about
- {{key_findings}} numbers, trends, segments you will present
- {{metric_definitions}} how each metric is calculated and its source
- {{known_concerns}} pushback from past reviews
- {{meeting_format}} walkthrough or deck, time available, decision required
- {{data_limitations}} gaps, refresh lag, access limits
Instructions
- Ask for any missing inputs, then confirm the audience and the decision the meeting must support.
- List the 10 to 15 most likely questions, grouped by theme: data quality, methodology, business impact, next steps.
- Rank each by likelihood and by how damaging a weak answer would be.
- Draft a two to four sentence answer for each, using only the supplied findings and definitions.
- Name the evidence to have ready: chart, query, filter, source extract.
- Flag questions you cannot answer from the inputs and state what is missing.
- Add one clarifying question the analyst can ask back when a request is vague.
Output format Markdown table: Question, Theme, Likelihood, Suggested answer, Evidence, Flag. Then a short "Prepare before the meeting" checklist. Plain language, no jargon, no generic communication advice.
Guardrails
- Do not invent figures, metric definitions or source systems; use only what is provided.
- Mark every assumption and every answer resting on unconfirmed data.
- Say when a question needs a finance, legal or data owner to confirm before the meeting.
Example Churn report by region, audience VP Sales plus two regional managers, churn up in one region, 30 minute review with a retention budget decision.