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. Paste the relevant source material into Claude with labels for source, theme, evidence strength, confidence, and implication, then ask for structured output instead of a polished final draft on the first pass. Separate evidence from interpretation so the team can tell what came from the source material and what is your recommendation.
A shortlist of research questions that your anonymized product data can credibly answer.
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.
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.