Piwi field notes · 2 min read
Turn authorized customer feedback into a decision brief
A repeatable pattern for collecting approved feedback, preserving provenance, grouping evidence, and preparing a human decision.
Define the question and authorized sources
Begin with one decision question, such as ‘Which onboarding issue creates the most support load?’ List the sources you are authorized to access, the fields needed, and the retention rule for each source.
Do not collect a broad stream of personal data simply because a model could summarize it. Minimize the inputs to what the decision needs.
Preserve evidence before interpretation
Store a stable reference to each source item, its collection date, and the transformation used. Redact or aggregate personal information before a model sees it when the decision does not require identity.
A conclusion without traceable evidence is a claim, not a decision brief.
Use tools for preparation and a workflow for synthesis
Small tools can fetch an approved dataset, validate its shape, remove duplicate records, and calculate counts. A bounded model step can then group themes, but should return references to the supporting evidence.
The final artifact should separate observations, inference, and recommendation. This makes it easier for a reviewer to challenge the right part.
Review for bias and actionability
Ask whether the source sample is representative, whether a rare but serious issue is hidden by averages, and what would falsify the recommendation. Then assign an owner and next action.
The value is not a more polished summary. It is a decision that can be revisited when new evidence arrives.