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I’ve been doing QA audits on SaaS products recently, and one thing I keep seeing is this:
Teams think they’re “almost ready” for launch, but no one has actually checked the full user flow end-to-end as a first-time user.
In a typical QA audit, I focus on:
• Broken or incomplete user flows
• Launch-blocking bugs (P0/P1)
• Mobile vs desktop inconsistencies
• Things that work technically but break UX
This kind of quick audit usually surfaces issues that don’t appear in regular dev testing.
I recently turned this into a dedicated QA Audit service on Contra — curious how other teams here handle pre-launch quality checks.
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Hello Contra Community!
I’m submitting my project for the second stage of the challenge. I participated in the first phase with this same application, and since then I’ve significantly improved it.
The app now has Stripe fully implemented 🙌 and properly configured for production use. I’ve also fixed the reported bugs, improved overall stability, and refined the user experience.
The project is now production-ready, with payments working end-to-end and core flows properly validated. I’m excited to move forward to the next stage and continue evolving the product.
In addition, I’ve configured the app as a Progressive Web App (PWA), allowing users to install it directly on their mobile devices for a more native-like experience.
https://finnaces.pro/
Nice!
Hi everyone,
I built SOS Bridgewater, a clinic management SaaS for child check-ins and attendance. In regulated environments, “mostly working” isn’t acceptable.
I implemented role-based access, real-time attendance tracking, and auditable workflows, keeping the system predictable under pressure.
Check-in time dropped by 50%, and attendance errors fell by 30%. Staff now trust the system enough to stop double-checking it.
Trust is the real KPI in regulated software.
Love this framing — especially the “mostly working isn’t acceptable” point. Predictability and auditability are massively underrated in product design. Solid thinking behind this build 👌
Startups don’t need more data , they need clear decisions.
Most teams collect sales, marketing, and customer data but struggle to answer:
• Why are conversions dropping?
• Which customers drive real revenue?
• Where are we losing money?
I help turn raw data into clear dashboards and actionable insights.
🔎 I can help with:
✔ KPI dashboards (Power BI / Excel)
✔ SQL analysis & reporting
✔ Customer & revenue analysis
✔ Funnel & retention insights
✔ Basic predictive models
I focus on practical insights — not just charts.
📩 Open to short-term and ongoing analytics projects.
— Rabi Ali
Data Analyst | SQL | Python | Power BI
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