1
Choose the industry question your data can answer
1 hour
1 hour
Start with a question people in your market would actually care about. Examples: how teams use AI, which workflows are growing fastest, how long implementation takes, what errors happen most often, or how behavior differs by company size. Use Claude to turn internal data possibilities into public-facing research angles.
Output
A shortlist of research questions that your anonymized product data can credibly answer.
Claude
Pro tip
The best data studies answer a question the market already argues about. Your data should add evidence to an existing conversation, not invent a topic no one cares about.
Prompt template
Help me identify link-worthy research angles from our anonymized product usage data.
Product:
{{product_description}}
Available anonymized data fields:
{{available_data_fields}}
Market audience:
{{target_audience}}
Business goals:
{{business_goals}}
Generate 10 possible data study angles. For each, include:
1. Research question
2. Why the market would care
3. Data fields needed
4. Potential headline
5. Backlink or PR angle
6. Sales or product marketing value
7. Privacy or credibility risks
Prioritize angles that are surprising, useful, and defensible.