# Customer Interview Notes: Use AI to Organize Evidence, Not Invent Findings

Authored ToolFlowKit practice material. These records are teaching examples, not customer data, current vendor offers, or measured software results.

## What evidence supports the export finding?

The participant labels and observations are authored examples. Keep the source-note positions and approved research permissions with real interviews. The contrast row changes the interpretation: an export-format option may be worth testing before a performance feature. Describe that as a hypothesis until the actual exported fields and receiving system have been inspected.

| Observation | Context | Provisional finding / next check |
| --- | --- | --- |
| P03 asks for a faster export | Reformats dates after each download for destination A | Check whether destination A needs another date format |
| P04 reports no export problem | Uses destination B | Do not generalize P03's friction to all users |
| Feature idea: faster download | No download timing supplied | Measure transfer time separately before prioritizing |

Guide: https://toolflowkit.com/guides/customer-interview-findings

License: CC0 1.0.