InsightLab provides an AI-driven usability testing platform that deploys synthetic users to navigate web flows and identify friction points before launch. Teams submit a URL, Figma prototype, or localhost build and receive a ranked report with severity scores and first-person agent feedback in under six minutes. The platform runs in the browser, terminal, CI, or via an MCP server.
Funding
Funding not disclosed
Founders
Product
Problem
Teams often rely on real-user recruitment, design-partner coordination, or post-launch funnel data to understand where users struggle with a product flow. These methods are slow, costly, and leave usability issues undiscovered until after a feature ships, when fixes are more expensive and user churn has already occurred.
Solution
InsightLab generates a panel of up to 16 synthetic users who walk through a target flow in an actual browser, recording whether they continue, hesitate, or drop at each step. Each agent documents its reasoning in first-person language, and the platform compiles a friction report that scores every step, identifies primary drop-off points, and includes a concrete recommendation. Runs complete in under six minutes and require no session logs, instrumentation, or participant scheduling. The same engine can be launched from the web browser, terminal, CI pipeline, or directly within a coding agent's workflow, and it accepts URLs, localhost builds, or Figma prototypes when code does not exist yet.
Target Audience
Primary customers are product, design, and engineering teams at software companies who need to validate onboarding flows, new features, or conversion funnels before launch without waiting for design partners or live A/B test traffic.
Features
- Panel of up to 16 synthetic users distributed across three behavioral archetypes: the Scrappy Hacker (impatient and price-sensitive), the Risk-Averse Scaler (methodical and security-focused), and the ROI Maximizer (feature-hungry and time-to-value driven)
- Per-step outcome tracking with three states: continue, hesitate with a reason, or drop with a verbatim quote
- Friction report with severity rankings, per-step completion scores, and evidence trail distinguishing observed, estimated, and simulated findings
- AI study planner that accepts a website URL, Figma prototype link, or PostHog context alongside a task and audience description
- No session logs or instrumentation required; works with staging URLs, preview deploys, localhost, and static screenshots
- Support for testing competing design variants side-by-side with scored comparisons and confidence levels before any production code is written