Polyhyle

USE CASE

See likely reactions before a rollout creates real-world behavior you cannot undo.

Model how users react based on context, incentives, timing, and assumptions.

INSIDE Polyhyle

Anticipate behavior

Introduce an annual-plan incentive while teams are under budget review and comparing alternatives.

  1. 01

    Configure the world

    Define the audience, market conditions, constraints, and assumptions that shape the decision.

  2. 02

    Run the scenario

    Launch a what-if test with synthetic humans that react across segments and intent levels.

  3. 03

    Read the signal

    Compare conversion, churn, objections, and confidence before exposing real users.

  4. 04

    Choose the next test

    Turn the simulated outcome into a sharper rollout, experiment, or research plan.

SIMULATION DETAIL

Anticipate behavior

Introduce an annual-plan incentive while teams are under budget review and comparing alternatives.
Running

Adoption

+7.9%

Resistance

Medium

Timing fit

Strong

World inputs

  • Behavioral assumptions, incentives, and urgency drivers
  • Segment motivations, constraints, and objections
  • Timing, market context, and decision-maker involvement

Simulated outcome

Position the incentive as budget certainty, time the rollout before renewal windows, and avoid pressure-heavy messaging for skeptical teams.

Behavior signal

30 day simulated horizon

SIGNALS YOU GET BACK

Adoption+7.9%
ResistanceMedium
Timing fitStrong

Position the incentive as budget certainty, time the rollout before renewal windows, and avoid pressure-heavy messaging for skeptical teams.

PRIVATE BETA

Test the decision before it reaches the market.