Jit Gosai

@jitgos.bsky.social

Principal Tester @BBC TV& Radio (iPlayer & Sounds) across Mobile, Web and Smart TV #Manchester tweeting about all things tech #mobile #testing #software #design

A mistake I see often is treating frameworks as answers. Their real value is helping people think when the system is complex, and the path forward isn’t obvious.

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One of the strongest signals this year wasn’t about tooling or AI. It was role clarity. People aren’t asking “what level am I?” They’re asking, “What does good look like in practice?”

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A pattern that keeps showing up: most problems with quality engineering don’t start with tools or skills. They start with misconceptions. If teams can’t agree on what quality engineering actually is, everything downstream becomes harder: roles, expectations, investment, and outcomes.

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Tell you what really annoys me. When you go out for coffee, sit in and they give it you in a takeaway cup. If I’d known that I would have gone somewhere else

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And if you click through to the second day you can see pictures of me making weird facial expressions on stage 😂

Nicola Lindgren@nicolalindgren.bsky.social · 10mo ago

What I learned at Öredev: Day 2: - navigating Complex software systems @jitgos.bsky.social - dark patterns - visualising test coverage & quality criteria @martin-n.bsky.social - CTO guide to presenting at the board Day 3: - live exploratory testing - access points in testing - test ops 👇 👇👇

Whether it’s team safety, neurodiversity, or delivery speed, the pattern is the same: the system sets the limits. People do their best work when the environment makes good outcomes the most likely outcome. Improving quality isn’t about finding better people; it’s about building better systems.

We often use metrics to prove progress, but they can just as easily hide the real story. The best metrics act as signals. Clues about how healthy the system is, not scorecards to optimise. The goal isn’t to “fix the number”, it’s to understand what the number is trying to tell you.