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Example workflow · File analysis

Turn customer feedback, interviews, and usage data into priorities

This example shows how Flowmint combines unstructured feedback with spreadsheet data, preserves source evidence, and creates a report and priority table.

This product example uses simulated source material and contains no customer data.
ANALYSIS REPORT

Where first-use activation breaks down

Evidence combined from interviews, feedback, and behavioral data.

01
Setup load
02
Value delay
03
Choice overload
Evidence strength
Setup load
Value delay
Choice overload
The request
Analyze 18 interviews, feedback.csv, and activation.xlsx to find the main first-use problems. Separate user statements from behavioral evidence, prioritize improvements, and create an executive report.

Source material

interviews/
18 de-identified interview transcripts
feedback.csv
326 simulated feedback entries organized by theme and date
activation.xlsx
Simulated first-use steps and completion rates

What the agent did

  1. 1

    Extract shared fields

    Normalize interviews and feedback into themes, contexts, severity, and sources.

  2. 2

    Check behavioral data

    Compare user statements with step completion rates and surface contradictions.

  3. 3

    Build priorities

    Rank issues using reach, evidence strength, and estimated implementation cost.

  4. 4

    Create deliverables

    Output an analysis report, evidence index, and editable priority table.

Result

Every major finding can be traced back to source material

Conclusions link to interview IDs, feedback themes, or spreadsheet metrics and mark areas supported only by qualitative evidence.

analysis-report.html

A previewable, shareable analysis report

priorities.xlsx

Issues, evidence, impact, and recommended priority

evidence-index.csv

Links between findings and source locations

method.md

Definitions, analysis steps, and limitations

What this example demonstrates

Frequent feedback does not always correspond to the largest behavioral impact.
Conflicting qualitative and quantitative sources should remain visible.
An evidence index makes later review and revision much faster.
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