Hey Product Hunt 👋 I spent 5 years inside call centers — starting as an agent in university, then moving up to supervisor, QA manager, and eventually head of a call center. The same problem followed me at every level: to know how your team really performs, you have to listen to calls. But manually, you can only cover 2–5% of conversations. The rest is a blind spot — missed scripts, broken compliance, unhappy customers you only hear about through complaints. I filled out checklists by hand, merged scores into spreadsheets, and spent weeks calibrating QA teams for every new project. At some point I stopped asking "who missed this stage?" and started asking "why is a human still doing this?" That's why I built Call Trace. It scores every call against your script — mandatory phrases, stage checks, passed/partial/missed — and gives managers dashboards and coaching signals instead of random sampling. What we're launching today: → 100% call coverage, not a QA sample → Script-stage scoring per agent → Real-time dashboards by team and campaign → 30-second summaries instead of replaying full recordings → 300 free minutes to test on your own calls — no credit card I'd love your feedback — especially if you've run a contact center, sales team, or support operation. What would make this genuinely useful for you? Happy to answer anything in the comments 🙌

We built Watcherr because teams ship voice and chat AI agents fast — then realize production quality is basically invisible until something goes wrong: a bad refund answer, a policy miss, or a frustrated customer no one flagged. Watcherr is an evaluation platform for those agents. You define quality dimensions (scored, flags, boolean checks), run evaluations in realtime (webhooks + connectors) or on-demand (CSV batches), and review results in dashboards — built for ops and QA teams, not just engineers. **Who it's for** • Teams running voice/chat bots in production (Vapi, Retell, Bland, Intercom, or custom webhooks) • Agencies that need to prove agent quality to clients after go-live • Anyone tired of manual spot-checks that don't scale **Launch day — we'd love your input on:** 1. What quality signals do you wish you could measure automatically? 2. Realtime monitoring vs batch review — which matters more for your workflow? 3. What would make you trust an AI agent evaluation score? **Try it** → Start free (Explore plan): watcherr.app/signup → Book a walkthrough: watcherr.app/book-demo I'll be here all day answering every question — setup, connectors, pricing, roadmap, all of it. What stack are you running for voice/chat agents today? Drop it below 👇