Tenera

Founded by Nicole Orsak

Simulate user clickstream behavior on your product before shipping it

Cost

Demo

Rating

★ Mixed Reviews

Time to value

Moderate Setup (1-3 hours)

You can use Tenera to predict how real users will navigate your product before you launch it. It builds a working copy of your product, populates it with AI personas trained on your actual customer data and historical clickstream behavior, then watches what those synthetic users do. You get insight reports showing where users drop off, what causes friction, and which product version converts best — all with traceable evidence linking back to source data like interviews and funnel events.

What Tenera does

Attach a product GitHub repo and define versions to compareBuild a context knowledge graph from product data, research, and customer evidenceGenerate AI personas grounded in real clickstream historyRun simulated users through live product flows in the cloudPredict the next most likely user action on each screenIdentify friction points and drop-off locations in user flowsGenerate insight reports with source-linked evidence for each recommendationCompare conversion rates across multiple product versionsBuilds a working cloud copy of your product for simulation testingGenerates AI personas trained on your actual historical clickstream dataValidates persona models against held-out clickstream history before usePredicts the most likely next user action on any given screenCompares multiple product versions and estimates which converts bestProduces insight reports with traceable evidence links back to source dataIdentifies specific friction points like where users hesitate or abandon flowsWorks without requiring a technical background to set up and run simulations