Free MVP research tool

Insight Affinity Mapper

Group raw research observations into themes and see which patterns have real evidence behind them versus which are one-off comments.

  • Calculated instantly from your inputs
  • No signup or data submission
  • A focused next step for MVP planning

Your entries remain in this browser session and are not sent to MVPHub.

How it works

1

Tag each observation

You assign a short theme tag to every raw note — the tool does not guess meaning, it groups what you have already classified.

2

Cluster by repeats

Themes that reach your minimum repeat count become confirmed patterns; everything else is flagged as a one-off signal worth watching.

3

Rank by evidence

Pattern coverage shows what share of all observations sit inside a confirmed cluster, so you know how much of your research is actually converging.

Frequently asked questions

What counts as an observation?

Any single raw note from an interview, survey, support ticket, or usability session — one specific thing a user said or did.

Why do I have to tag the theme myself?

Reliable thematic grouping needs human judgment about meaning. The tool handles the counting, ranking, and coverage math once you have classified the raw notes.

What is pattern coverage?

The percentage of all observations that belong to a theme with enough repeats to be a real signal, based on the minimum cluster size you set.

How many observations do I need?

Ten to twenty tagged notes are usually enough to see early patterns. More observations make the clustering more reliable.

What should I do with one-off signals?

Keep watching them. A signal that repeats in your next few interviews may graduate into a confirmed pattern.

How we compare

CapabilityMVPHubMiroDovetail
Structured theme tagging
Instant numeric pattern coverage score×
Free-form sticky-note affinity boards×
No signup required××

MVPHub instantly clusters and scores tagged observations you paste in. Miro offers open-ended visual affinity boards, and Dovetail offers full qualitative research repositories with tagging and analysis features.

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