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Prompt Details

Model
Chat - (gpt-5.5)
Token size
857
Example input
[paste the analysis, data summary, or research finding]: Customer churn increased from 4.2% to 6.8% in Q3. Exit interviews show 62% cited lack of advanced features. These customers were disproportionately on our $49/month mid-tier plan. [describe — e.g., "CFO", "the board", "the commercial director"]: CPO [e.g., "whether to continue the current pricing strategy" or "where to invest next year's growth budget"]: Whether to prioritize feature development for the mid-tier segment [optional — e.g., "people assume the growth is healthy because the top line is up", or leave blank]: This is a support or customer success problem
Example output
INPUT: - Raw analysis: "Customer churn increased from 4.2% to 6.8% in Q3. Exit interviews show 62% cited 'lack of advanced features'. These customers were disproportionately on our $49/month mid-tier plan." - Decision-maker: CPO - Decision: Whether to prioritize feature development for the mid-tier segment - Most common misreading: This is a support or customer success problem STEP 1 — FINDING HEADLINE a) Factual: Mid-tier churn rose 62% and is concentrated in the feature gap b) Directional: Mid-tier churn is a product gap, not a service failure STEP 2 — SUPPORTING EVIDENCE Exit interviews from 62% of Q3 churned customers — all from the $49 mid-tier plan — cite missing advanced features as their primary reason for leaving, not support quality or pricing. STEP 3 — BUSINESS IMPLICATION The CPO must decide whether to close the feature gap for the mid-tier within two quarters or accept that churn will continue as a structural consequence of underfunding that segment. STEP 4 — WEAK HEADLINE DIAGNOSTIC AND FIX Part A: The weak version would be "Mid-tier churn rate increased in Q3" — it describes the metric movement but hides the cause, making it impossible for the CPO to know where to act. Part B: Fix — replace the metric description ("rate increased") with the mechanism ("product gap, not a service failure"). Technique: named the root cause and corrected the most common misattribution in one clause.
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Turn Raw Analysis Into A Slide Insight

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GPT-5.5
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Analysts produce analysis. Consultants produce insights. The difference is one sentence — the headline. This prompt turns any raw finding into a complete insight block: a headline in two versions (factual and directional), one sentence of supporting evidence, and a business implication calibrated to your decision-maker and decision. Includes a weak-headline diagnostic that shows exactly how to fix it — so you learn the pattern, not just get the output. No jargon. No hedging. No passive voice.
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Added 3 days ago
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