Complete AI Training

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

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. 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

  1. Ask for any missing inputs, then confirm the audience and the decision the meeting must support.
  2. List the 10 to 15 most likely questions, grouped by theme: data quality, methodology, business impact, next steps.
  3. Rank each by likelihood and by how damaging a weak answer would be.
  4. Draft a two to four sentence answer for each, using only the supplied findings and definitions.
  5. Name the evidence to have ready: chart, query, filter, source extract.
  6. Flag questions you cannot answer from the inputs and state what is missing.
  7. 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.