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    UserApproved.ai

    Always-on journey coverage

    Your store changed. Know what to act on

    UserApproved watches the journeys that matter, investigates meaningful changes with connected evidence and real-browser checks, and tells your team what deserves action.

    Start with your storefront. Add priority journeys and connected data when you are ready.

    Theme regression · Mobile purchase journey

    Meaningful change detected

    The new promo banner could not open on mobile

    Fix now
    Change

    New theme published

    Plausible correlation

    Signal

    Mobile conversion moved down

    Traffic remained stable

    Behavior

    Dead clicks clustered

    Free-sample banner

    Verified

    Offer drawer did not open

    Reproduced on mobile

    Repair the promo drawer handler

    Add a fallback offer link, then rerun the mobile promo-to-cart journey

    Review evidence
    Success: Mobile conversionRevenue per mobile sessionSimulated store example

    A simpler operating model

    Set priorities, not workflows

    Tell us which journeys matter without building agents or if/then workflows. Baseline monitoring keeps running, priority coverage directs more attention, and connected evidence improves ranking and confidence.

    Baseline monitoring

    Live storefront checks keep running without your team building workflows.

    Priority coverage

    Choose the journeys that deserve more attention, not agents or trigger logic.

    Connected evidence

    Analytics, replay, and customer feedback strengthen ranking and confidence when available.

    Product walkthrough

    When something matters, get the investigation, not just the alert

    See how UserApproved connected a theme change to a mobile conversion drop, used shopper behavior to narrow the problem, reproduced the broken promotion drawer in a real browser, and sent the evidence and recommended fix into Slack.

    Walkthrough uses simulated store data

    Impact estimates are directional

    UserApproved theme regression walkthrough in Slack

    Different starting signals

    One investigation model

    Monitoring can begin with a metric drop, recent release, or customer complaint. The signal starts the investigation; it does not automatically become another ticket.

    Theme and app regressions

    A release changes an important interaction or customer promise.

    Promotion and shipping mismatches

    The offer presented earlier does not carry through the purchase path.

    Device-specific checkout failures

    A critical step works in one condition but fails in another.

    Customer issues worth reproducing

    A support or customer signal points to a journey worth testing.

    Keep important journeys in view without another dashboard

    When nothing critical breaks, baseline monitoring continues, priority journeys stay current, and the backlog is refreshed as new evidence appears.

    Results reflect connected evidence, selected journeys, and tested conditions.