See likely reactions before a rollout creates real-world behavior you cannot undo.
Describe a change and see how synthetic users react: who adopts now, who waits, who never does, and the drivers and barriers behind it, before it is real.
OVERVIEW
People rarely react to a change the way a plan assumes. Some adopt immediately, some wait to see what others do, and some never move, and the split between them decides whether a launch lands. Once a rollout is out, that behavior is real and hard to undo.
Polyhyle lets you see the reaction first. You describe what would ship and the segments to test, and each synthetic person tells you whether they would adopt now, in weeks, in months, or never, how often they would use it, and what drives or blocks them. You get the adoption split, the reaction per segment, and the timing, so you know who moves and who needs convincing before it is real.
INSIDE Polyhyle
Anticipate behavior
Introduce an annual-plan incentive while teams are under budget review and comparing alternatives.
01
Describe the scenario and the segments
State what would ship and the behavioral segments to test, from early adopters to skeptics.
02
Ask when and why they would adopt
Each synthetic person says whether they would adopt immediately, in weeks, in months, or never, how often they would use it, and the main driver and barrier.
03
See reactions per segment
Answers become a reaction per segment, from enthusiastic to resistant, and an adoption curve that ramps over your horizon.
04
Read drivers, barriers, and timing
Get the adoption-timeframe split and the ranked drivers and barriers, so you know who moves now and who never will.
Polyhyle.app/simulations/anticipate-behavior
SIMULATION DETAIL
Anticipate behavior
Introduce an annual-plan incentive while teams are under budget review and comparing alternatives.
Running
Top segment
Early adopters
Adopt now
42%
Never
24%
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
Top segmentEarly adoptersAdopt now42%Never24%
Position the incentive as budget certainty, time the rollout before renewal windows, and avoid pressure-heavy messaging for skeptical teams.
WHY SIMULATE THIS
The usual way to predict a reaction is to assume one and find out at launch, or to ask people what they would do and trust the answer. Stated intentions and planning assumptions both tend to overstate how many will actually move.
Simulating it first replaces the assumption with a spread. You see who adopts now, who waits, and who never does, and what drives or blocks each group, so you can time the rollout and aim your messaging at the people who actually need convincing.