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QA Tester - Web App + iPhone Review
Curated from source
Quality Assurance
Bug Tracking
About the Role
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We need a part-time QA tester for Carby, a carb-conscious meal planning app. This role is for practical product QA, not generic design opinions.
Paid test assignment:
- Submit the test here: ----------
- First record a 3 minute web app tech check on a phone browser with microphone audio.
- Then record a separate iPhone app review if you have real iPhone access.
- Use the test web app URL: ---------- and start from the beginning of the normal funnel. Do not skip directly to checkout.
- If checkout asks for payment, use Stripe test card ---------- with any future expiry, any CVC, and any ZIP/postal code.
- Test in two modes: robot mode follows the exact normal flow; chaos mode tries to break real-user intent with realistic cases like in-app browser, old account, already subscribed account, app already installed, reinstall, slow connection, double taps, refresh, app switch, and kill/reopen.
- Focus on previously unknown, revenue-impacting issues that could hurt quiz completion, checkout trust, payment, activation, retention, meal-plan use, grocery-list use, or trust.
- Paywall clarity: do not answer whether you personally would buy. Narrate what you believe is happening: am I paying today, when will I be charged, how much, can I cancel, and what happens after I install?
- Paid handoff/sign-in is critical: after checkout/trial, test app install/open/sign-in/access. If possible, cover iOS Safari, Instagram browser, TikTok browser, already-installed app, and not-installed app. If a paid or trial user cannot activate, that is high impact because it can cause refunds and kill trust.
- Vague reports like 'it did not work' need exact screen/action, repro context, and session ID or account identifier if available. Vague failures with no session/account context are penalized.
- Include a Google Doc with repro steps, video links, severity, clear screen/action proof, and what confused you.
- Include one final answer: what is the single ---------- nt most likely to make a real user quit before getting a useful meal plan/grocery list?
- Include the word crispy in the severity section so we know you read the instructions.
Good reports focus on exact bottlenecks: the quiz step where a user would quit, the checkout trust issue that blocks payment, the app handoff/sign-in issue after checkout, or the first meal/grocery action that fails.
Bad reports are broad opinions, personal willingness-to-pay guesses, silent recordings, old portfolio samples, or minor polish with no metric impact.
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