Stress-test decisions against market changes before the market forces the answer.
Inject a competitor move, policy change, or supply shock into a configured world, then watch how synthetic customers react, how far conversion drops, and how long recovery takes.
OVERVIEW
Markets do not sit still while you decide. A competitor cuts its price, a regulation changes, a supplier falls through, and the plan you were confident in is suddenly exposed. By the time the effect shows up in your dashboards, the damage is already done.
Polyhyle lets you rehearse the shock first. You describe the event and the world it hits, and a population of synthetic customers reacts: how hard it affects them, what they would change, and how fast they recover. You get a before-and-after trajectory, a risk level, an estimated recovery time, and the segments most exposed, so you can prepare your response instead of improvising it.
INSIDE Polyhyle
Market events
A competitor launches a lower-priced tier while budgets tighten across mid-market software teams.
01
Define the event and the world
Describe the shock you want to test, a competitor price cut, a policy change, a supply disruption, and set the world it lands in: market, segments, budget sensitivity, and the horizon to run it over.
02
Fan out the reactions
Polyhyle selects the synthetic humans that match your market and asks each one how hard the event hits their usage and spending, what they would change first, and whether they recover fast, slowly, or never.
03
Watch the trajectory diverge
Every reaction is aggregated into two curves: a baseline where the event never happened, and a simulated curve that bends after impact in proportion to how the population felt, then claws back toward baseline.
04
Read risk and recovery
Get a risk level, an estimated recovery time in days, the sentiment split, and the impact per segment, so you can see who absorbs the shock and who to protect before it is real.
Polyhyle.app/simulations/market-events
SIMULATION DETAIL
Market events
A competitor launches a lower-priced tier while budgets tighten across mid-market software teams.
Running
Conversion dip
-6.2%
Recovery
~12 days
Risk level
Medium
World inputs
Competitor moves, economic conditions, and seasonal timing
Customer budget sensitivity and urgency by segment
Assumptions about switching cost, trust, and category maturity
Simulated outcome
Protect mid-market customers with proof-led messaging, avoid matching the lower tier directly, and test a focused retention offer for SMB accounts.
Protect mid-market customers with proof-led messaging, avoid matching the lower tier directly, and test a focused retention offer for SMB accounts.
WHY SIMULATE THIS
The usual way to handle a market shock is to wait for it and react, or to plan around a single guess about how customers will respond. By the time the real numbers move, your options have narrowed and the costly part has already happened.
Simulating it first lets you see the reaction while it is still cheap to change course. You can compare responses to a competitor move or a price shock, know which segments are most exposed and how long recovery takes, and walk in with a plan instead of a scramble.