Customer Feedback Evidence Brief

# Customer Feedback Evidence Brief

Group supplied feedback into themes without turning a small sample into a market claim.

1Overview

A coded feedback table, theme summary and follow-up questions.

2Requirements

Provide the feedback, collection context and any allowed segmentation fields.

3Steps

1. 1. Preserve feedback identifiers and remove unnecessary personal data from the analysis copy.

2. 2. Define a small coding scheme and allow multiple themes where the text supports them.

3. 3. Count statements and respondents separately; retain disagreement and negative cases.

4. 4. Write theme summaries with representative source locators and explicit sample limitations.

5. 5. Propose follow-up questions or product checks; do not trigger customer messages or changes automatically.

4Worked example

6. Input

```text F1: setup was confusing, support helped. F2: setup was confusing. F3: setup was easy but export was slow. ```

7. Expected result

```text Themes: setup confusion appears in F1/F2; positive setup experience in F3; helpful support in F1; slow export in F3. This three-item sample does not establish market prevalence. Follow up on the exact setup steps and export conditions. ```

5Acceptance checks

Retain the contradictory setup experience and do not call two comments a population percentage.

6Limits

Themes depend on the collection method and sample. No automatic customer outreach or product prioritization decision is included.

7Suggested tools

• Your AI assistant: Code and summarize the supplied evidence
• LibreOffice or your document editor: Review the feedback ledger and follow-up plan