Tenera offers AI‑powered pre‑launch user research by generating realistic clickstream simulations that mimic how real users would interact with a product. The platform lets product teams test designs, validate hypotheses, and uncover usability issues before a public release, reducing the need for costly live user testing. It integrates with existing analytics tools to provide actionable insights from synthetic user behavior data.
Funding
Funding not disclosed
Founders
Product
Problem
Product teams often lack real user interaction data before a product launch, making it difficult to validate designs and predict how users will navigate the interface. This uncertainty can lead to costly post‑launch revisions and missed usability issues.
Solution
Tenera offers an AI‑driven platform that generates realistic clickstream data for a product prototype before it goes live. By simulating how users are likely to interact with the design, the tool enables product managers and designers to assess navigation flows, identify potential friction points, and validate design decisions early in the development cycle. The simulated data can be exported for further analysis or integrated into existing analytics pipelines, allowing teams to iterate rapidly and reduce the risk of post‑launch problems.
Target Audience
Primary users are product managers, UX/UI designers, and product research teams who need early validation of user flows for web and mobile applications.
Features
- AI model that creates synthetic clickstream sequences based on design specifications and target user personas
- Dashboard for visualizing simulated navigation paths, heatmaps, and drop‑off points
- Exportable datasets in common formats (CSV, JSON) for downstream analysis or A/B testing
- Integration hooks for popular design and product management tools to import prototypes directly
- Scenario builder to test multiple design variations and compare simulated user behavior