Wherever your team currently recruits users or waits on design partners to understand where people get stuck, InsightLab runs the same test with synthetic users and returns a ranked friction report in under 6 minutes.
Submit competing designs as product flows alongside their respective URLs. Synthetic users across all three behavioral archetypes evaluate both variants, surfacing friction and hesitation points before any production code is written.
Ship to a small set of design partners, wait weeks for scattered feedback, then debate what the results actually mean in a review meeting.
Submit both variants and receive a scored comparison with a friction breakdown across segments in hours. Each recommendation includes a confidence score and evidence trail.
Run your onboarding flow against a panel of synthetic users. See which steps cause hesitation, which copy creates confusion, and how re-ordering the sequence affects the step-by-step completion rate.
Infer drop-off from funnel data after the fact, once real users have already churned and the cost is sunk.
Identify the problem step before launch and test the proposed fix in the same session. Findings are ranked by severity with one recommended action each.
Synthetic users walk through your flow and record whether they continued, hesitated, or dropped at each step, along with a first-person reason for the hesitation or drop.
Review a sample of session recordings and hope the few you watch are representative of the broader population.
Receive a per-step friction score across all three behavioral archetypes at once. Every finding shows whether it is observed, estimated, or simulated, and each recommendation carries a confidence score and provenance trail.
Shared behavioral data from a friction report gives product, design, and engineering a common reference point. The decision becomes about interpreting results rather than adjudicating competing intuitions.
Competing opinions fill the review meeting. The decision defaults to the most senior person in the room.
A single report everyone can read. Here is where users encounter friction, here is the confidence level, and here is the recommended course of action.
Test pricing presentation, flow sequencing, and copy variants against synthetic users to identify which combination produces the fewest drop-offs across all three behavioral archetypes.
Run a live A/B test for several weeks and wait for enough traffic to reach statistical significance.
Pre-screen variants so only the strongest candidates reach live traffic, reducing the cost and duration of your A/B program. Confidence scores tell you which variant to back before a single real user sees it.
We run the first test on your actual product flows in a live walkthrough.