Stop guessing why.Start watching.

Candid runs user interviews and user tests inside your app, then turns every tap, word and hesitation into findings your team can act on.

Your analytics tell you what.Only users can tell you why.

Dashboards count the taps, not the confusion, the hesitation, or the moment someone quietly gives up.

From the what to the why

How it works.

  1. Pick a moment in your app: a new signup, day 7, a churn signal. Candid takes it from there.

  2. They answer by voice or text while the screen records. No scheduling, no moderator.

  3. Voice, screen and taps become bugs, insights and feature requests, ranked by the share of users affected.

Product

Hours of sessions. One page of findings.

Candid clusters what it sees across every session, so you read conclusions, not recordings.

Every step measuredCompletion, duration, taps and swipes.

Bugs, insights and feature requestsWith the share of users affected.

Drill into any sessionTranscript and replay, synced to the second.

Why teams switch

Research that finally keeps up.

Everything a research sprint gives you, without the sprint.

  • 100×cheaper

    No moderators, no paid panels, no recruiting. Your own users do the talking.

  • 100×faster

    Launch a study in minutes. Read consolidated findings the same day.

  • 1,000+sessions

    Thousands of sessions instead of a dozen interviews. Findings you can defend in a roadmap meeting.

  • 0panel bias

    Your own users and organic signups, not serial testers.

Integration

Live in 5 minutes.

Three calls stand between you and your first live session.

  • Integrate once

    Then launch every study from your Candid dashboard.

  • Native iOS SDK

    Built for SwiftUI and UIKit, with a sheet you can style to match your app.

App.swift
import CandidSDK // 1. Add to your app initializerCandid.configure(  .init(apiKey: "pk_live_…")) // 2. Add the Candid overlay to your viewContentView()  .candidOverlay() // 3. Trigger a Candid studyCandid.register(trigger: "onboarding")

Turn your everyday users into your most honest research panel.