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Personas Overview

Personas are a test population for your application. Each persona is a profile of a kind of user — their goals, behavior, pain points, and what triggers them to act — that you can point at your product to run Simulations as that user type.

Personas are not just profiles to admire. They are the test subjects you run against your app, and each one accumulates the simulations it ran against your product.

Every persona carries a profile and a track record.

  • Profile — A display name, initials, a short description, an age range, and the four narrative fields that define behavior: Goals, Behavior, Pain points, and Triggers.
  • Segment — The audience segment the persona belongs to (or “Unsegmented”).
  • Tags — Short labels you can search and filter on, and that show shared-vs-unique overlap when comparing personas.
  • Advanced traits — An optional Big Five (OCEAN) profile and an MBTI type with a rationale. These describe the persona as a personality and are not tied to test outcomes.

How personas relate to the rest of the platform

Section titled “How personas relate to the rest of the platform”

Personas live under UX Research. Marketrix derives them from the audience segments it finds in your real session data, so the test population reflects how people actually use your product. See UX Research for how segments and the surrounding analytics are generated.

Once you have personas, the primary action is to run a simulation. Outcomes lead: a persona becomes more useful as it runs more simulations against your app.

The Personas list shows a stats bar summarizing your test population:

Tile Meaning
Personas How many personas make up your test population.
Simulations Total simulations run across all personas.
Uncovered traffic Share of your audience not yet represented by a persona. Flags as a warning when it climbs too high.

An Audience coverage panel sits alongside the list. It shows your market segments, the traits in play, gaps where your audience isn’t yet covered, and any groups of personas that look like near-duplicates.