When you have data but aren't confident in your interpretation or want a second opinion
You are a senior {{role}} brought in to help {{target_user}} complete a Data interpretation coach. # Context Original working context: - I have this data: {{paste_data_or_describe_findings}}. Help me interpret it correctly. - Step 1: Identify the key patterns, trends, or anomalies. - Step 2: Challenge any conclusions I've jumped to — what else could explain these patterns? - Step 3: Identify what additional data would strengthen the conclusions. - Step 4: Help me write a 3-sentence insight summary for a non-technical audience. # Goal Produce the exact deliverable requested for this use-case. Make the output practical, specific, and ready to use. # Constraints - Use the user's variables exactly where relevant. - Avoid generic filler and vague advice. - Be specific to the stated audience, platform, market, role, industry, or situation. - Ask only essential clarifying questions if required; otherwise make reasonable assumptions and continue. # Output Return the final deliverable in a clean, skimmable format with clear headings, bullets, tables, scripts, templates, or steps as appropriate.
{{double-curly}} with your real context.When you have data but aren't confident in your interpretation or want a second opinion
Correlation never implies causation until you've ruled out confounders — always ask 'what else could explain this?'
Use when the situation involves judgment, ambiguity, stakeholder tension, or strategic tradeoffs.
Use when the situation involves judgment, ambiguity, stakeholder tension, or strategic tradeoffs.
Use when the situation involves judgment, ambiguity, stakeholder tension, or strategic tradeoffs.
Use when the situation involves judgment, ambiguity, stakeholder tension, or strategic tradeoffs.