Capture the task and the obstacle
Record what the person was trying to accomplish, where they became stuck, and how the issue was resolved. Separate an observed application failure from a question about terminology or a missing capability.
Preserve enough context to investigate while limiting unnecessary personal or sensitive information. Link to a stable issue or record where appropriate instead of copying entire private conversations into a broadly visible backlog.
Look for patterns carefully
Group cases by the underlying problem rather than only the wording users chose. Several requests for different exports may all arise from the same reconciliation task. A repeated question about status may indicate unclear ownership or stale information.
Consider the affected audience and frequency, but do not dismiss a severe problem merely because few people encounter it. A rare issue in an important recovery path can deserve attention even when it does not dominate the ticket count.
Close the feedback loop
When a change is made, compare it with the original examples and ask whether it removes the obstacle. Update support instructions and user-facing explanations so the team does not continue recommending an obsolete workaround.
Keep the decision visible when work is deferred. Explain whether the team needs more evidence, has chosen a different approach, or is prioritizing another outcome. This helps support staff communicate consistently.
Support data is most useful when connected to product decisions and operational learning. Counting tickets alone tells you how much conversation occurred; understanding the task behind them tells you where the system may need to change.
A practical example.
Several users ask where a report went after requesting it. Instead of immediately adding more email, review the individual cases: did generation fail, was the result hard to find, or did users misunderstand how long it would take?
Group requests by the underlying obstacle and preserve a few sanitized examples. Compare frequency with impact and the affected workflow; a rare lost-record problem can matter more than a frequent minor inconvenience. Test a proposed improvement against those examples, then monitor whether the same support question returns. Keep the original support process available during the change. Product work should reduce avoidable confusion without making it harder for people to report a new kind of failure.
Put it into practice.
- Group evidence by the task and obstacle rather than the requested feature.
- Distinguish recurring confusion from defects, access issues, and missing capability.
- Evaluate the change against the original cases and subsequent support evidence.