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AI Data Collection Survey Template
Bring clarity to your AI work. Use this simple survey to align your team on the specific data worth collecting and skip the rest.
Why Internal Alignment Makes AI Stronger
A lot of AI efforts fail because teams start collecting mountains of data before they know what they actually need. Pawel Huryn’s approach helps you flip that: first decide what makes your product smarter and more useful, then gather only what supports that goal.
This internal survey surfaces:
- The must-have signals that power real features
- Gaps in your current data thinking
- Risks or blind spots before you waste time building
It’s the easiest way to keep your team focused on value, not vanity.
How to Make the Most of It
This survey keeps your AI ambitions grounded in reality and not buried under piles of useless data. Pawel Huryn’s AI Data Collection Template brings your team together to answer one hard question: What data is actually worth the effort?
It helps you spot assumptions early, separate what’s critical from what’s noise, and highlight blind spots before they become costly mistakes. The result? You only gather the signals that move your AI forward — saving time, budget, and sanity.
Exclusive advice from for product teams:
1. Run it early
Use this survey before planning sprints or scoping AI work.
2. Involve the right people
Bring product, engineering, and stakeholders into the same conversation.
3. Connect data to outcomes
Make sure each data point has a clear role in solving real user problems.
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