.svg)
.svg){kind=icon}
AI Data Strategy Discovery Template
Your AI is only as good as the customer context it serves. Use this survey to uncover real-world workflows and data pains.
Why Customer Data Context Matters
Too many teams build AI features that sound great in meetings but don’t match how customers really work. Pawel’s survey template helps you step into your user’s shoes: how they store, manage, clean, and transform data today.
It shows you:
- Where people struggle with scattered data
- Which systems your AI should connect with
- How to handle privacy or compliance worries from the start
When you understand the real context, you avoid wasted effort and deliver AI features that actually fit.
How to Make the Most of It
This survey bridges the gap between your AI plans and your customers’ real-world reality. Pawel Huryn’s AI Data Strategy Discovery Template pulls practical details out of your users’ daily work, so you see exactly how data flows, where it breaks, and what’s blocking real value.
It helps your team move beyond guesses and edge-case assumptions. You’ll uncover how people store, clean, and combine data today, which tools and systems your AI needs to plug into, and what compliance or privacy guardrails you can’t ignore.
Run it early with real users or pilot customers to surface the hidden friction your AI can remove — and build features that fit naturally into the way people already work.
Exclusive advice from for product teams:
1. Run it with top customers
Use it during discovery calls or early pilot phases.
2. Map out practical integrations
Learn which tools or APIs matter most
3. Build trust
Address compliance and privacy concerns upfront.
.png)
.png)
.png)
.png)