E-commerce
Capture checkout bugs with full session context before the user abandons cart.
From a checkout bug in a fashion marketplace to a stalled video in a lesson player - see how OneClik fits the way different teams work.
OneClik adapts to the workflows, compliance needs, and capture rules of your industry.
Capture checkout bugs with full session context before the user abandons cart.
Reproduce regulated workflows with redacted PII baked into every report.
Capture issues in clinical apps and patient portals, with sensitive fields masked in the browser.
Catch quiz, video, and grading bugs from teachers and students at scale.
FPS, console, and network logs attached to every player report.
Turn vague enterprise tickets into actionable engineering work in one click.
Each scenario walks through a common challenge and how teams in that industry use OneClik.
Support logs checkout complaints every week, but engineers can reproduce only a few of them. A broken payment flow in one market can cost a weekend of sales before anyone sees the error.
The widget sits in the checkout funnel, and support has the same button in the admin panel. Every report lands in the OneClik dashboard with the screenshot, console errors with stack traces, the failed network requests, and the shopper's locale, currency and payment method passed as metadata. The team sends the reports that matter to Jira as ready-to-triage tickets.
The KYC flow handles passport scans and address proofs, so QA can't share screenshots freely. Every report needs anonymising by hand, and many bugs never get reported.
Sensitive fields are marked for redaction and masked in the browser before anything is captured, so reports carry the evidence without the personal data. The AI summary describes the user impact in plain language, and the team sends each report to a private Jira project.
Adjusters and brokers hit failures mid-claim, such as an upload that silently fails or a premium that doesn't match the quote. They report them hours later by email, often with policy numbers in the screenshots.
A button in the claims portal and broker workbench captures the problem in one click, with policy numbers, names and IBANs masked in the browser. The product line and country travel with each report as metadata, and the AI drafts an engineering-ready title and summary.
When a quiz won't submit or a video stalls, students give up. Complaints reach the product team second-hand, with every technical detail lost along the way.
A "Something not working?" button in every lesson player lets students report in one click, with the lesson ID, browser and console attached. Similar reports are grouped into one issue with a count, so the team sees one problem reported many times rather than a pile of separate tickets.
When playback fails, social channels fill with "video won't play", and engineers spend hours working out which app version, device and region viewers are on.
A "Report a problem" button in each player, through the web widget and the mobile SDK, captures the app build, device, console errors and network requests at the moment of the tap. The team sends playback reports to its Slack incident channel.
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