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Simulation

Test a decision before you commit.

A panel tells you how an idea lands. A scenario shows how the people involved react, round by round.

See a concept testSee a scenario

Two modes

Ask how it lands, or watch what happens next.

Persona panel

Does it land?

  1. Your brief
  2. Panel runs
  3. Report
  • Concept test
  • Market research
  • Audience discovery
  • Preference analysis
  • Website evaluation

A 20-persona panel is about 70 credits.

See a concept test →
Scenario

What happens next?

  1. Your brief
  2. Actors play rounds
  3. Report
  • Public reaction
  • Stakeholder interaction
  • Market scenario
  • Policy scenario
  • Custom world

A scenario simulation is about 430 credits at the default size.

See a scenario →

Sample studies. The personas and actors are modelled perspectives, not real respondents.

Persona panel

A concept test: will it land?

A concept test report: an overall signal of 71 out of 100 marked strong signal, and a decision brief that recommends a controlled pilot, with the scores behind it.
Findings
  1. One score from the panel.
  2. A decision brief, in plain words.
  3. The numbers behind it.
The next steps tab: recommended actions ranked high or medium, each with its expected effect, evidence strength and the profiles it affects.
Next steps
  1. Actions, ranked high to medium.
  2. Each tied to evidence and the profiles affected.

Scenario

A pricing committee: what happens next?

A scenario simulation report: the decision question about a private-label range, five completed rounds, and an executive synthesis recommending a limited pilot.
Findings
  1. Your decision question, as asked.
  2. An executive synthesis: what to do, and what stays open.
A table of six participants' stances across five rounds: mostly oppose in rounds one to three, then conditional or support once the proposal becomes a pilot.
Evolution
  1. Each round, the proposal on the table.
  2. Every participant's stance, round by round.
  3. Round 4: a pilot proposal turns Oppose into Conditional.
Six simulated actors in a pricing committee, each with a role, goals, constraints and a starting position.
Actors
  1. Six actors, each with a role, goals and a starting position.
  2. Open any actor to see why they behave that way.

Try it in Claude, ChatGPT or any AI assistant: Simulate how my buyers would react to this price.

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Connector address for your AI assistant
https://forwardeployed.work/mcp