Four stages, calibrated to your workforce. No surveys go out. No employee knows a simulation is running. No individual record surfaces to the model.
No individual record ever enters it. Each synthetic agent stands for a type of employee (an age band, a tenure, a role, a location), statistically faithful to your workforce.
Models how reactions travel through your org network once the stimulus lands. Consensus forms in some segments; resistance hardens in others.
For every agent, SynPop estimates how likely each answer is, so disagreement inside a group survives into the result instead of being averaged away.
A generic model answers like an industry average. Calibration pulls the forecast toward how your people actually responded before, so the result reflects your culture.
Upload anonymised HR data, or define a population from your org structure and role bands. SynPop creates a statistically faithful census of synthetic agents (one per anonymised record) that mirrors your workforce, without retaining any individual record.
The stimulus is the policy, memo or change you want to test, written in plain language. SynPop injects it and runs it against every synthetic agent, calculating the full probability distribution of responses, not a single point estimate you have to trust.
Individual reactions are only the first signal. SynPop models how opinion propagates through your org, across teams, hierarchies and tenure bands. Consensus forms in some segments; resistance hardens in others.
Predicted support and friction by segment, the drivers behind each, and side-by-side scenario comparisons. A forecast you can take into a leadership meeting, not a dashboard you have to interpret yourself.
SynPop does not just generate responses. It helps HR teams understand where a decision is likely to work, where it may create friction, and what to adjust before launch.
Design multiple variations of a policy or message to see which yields the optimal balance of adoption and cultural health.