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Running Retrospectives That Lead to Actual Changes

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Jared Lynskey
Author
Jared Lynskey
Emerging leader and software engineer based in Seoul, South Korea

I’ve sat in plenty of retrospectives that were genuinely good conversations and changed absolutely nothing. The format was never the problem — the follow-through was. I’ve been running the retros on my team lately, so here’s where I’ve landed.

The meeting is the easy part
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The structure is almost embarrassingly simple. After a sprint or a project phase, the team sits down and works through three questions:

  1. What went well?
  2. What didn’t go well?
  3. What can we improve?

That’s it. The point is the feedback loop: pause regularly, look at what actually happened, and feed it back into how you work. A team that never pauses just repeats itself.

What separates useful retros from venting sessions
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Candour, mostly. People will only name the real problem if they’re confident it won’t be held against them, so the safety of the room matters more than whichever format you picked. And the sharpest observations usually come from the quiet people — a retro where only the lead talks is a status meeting with extra steps.

The other half is what happens after the discussion. Every issue worth fixing should leave the room as an action item with a name and a deadline attached. Then — and this is the part most teams skip — open the next retro by reviewing last time’s items. Nothing kills retros faster than everyone quietly realising the action items are decorative.

Where you can, bring numbers too. Opinions like “the sprint felt slow” go in circles; a chart usually settles it.

The failure modes
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Three I’ve seen up close: retros that turn into blame (fix the system, not the person), retros that run the identical format for a year until everyone’s on autopilot (change it up), and retros with no follow-up at all — which, as above, is the fatal one.

None of this is specific to software, by the way. Marketing campaigns, event management, research projects, manufacturing — anything with a repeating cycle benefits from the same loop. But wherever you run them, the test is the same: did anything actually change before the next one? If not, you’ve just been talking.