🤖 AI + Agile: A Test Engineer's Take on AI in Quarterly Planning & Retros

[Anwesha Pan]

Hi everyone! 👋

I'm a Dev/Test Engineer on a Kanban team working on a large-scale insurance platform. Here's what I'm seeing AI do for our Agile ceremonies — from the quality trenches.

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📋 Quarterly Planning

We run Kanban — no sprints, no velocity charts, no two-week commitments. Instead, we plan on a quarterly cadence, setting priorities, capacity expectations, and key deliverables for the next 12 weeks.

• Throughput forecasting — AI analyzes our historical cycle time and throughput to generate probabilistic forecasts ("85% chance you'll deliver 45–55 items this quarter") instead of gut-feel guesses.

• Risk flagging — AI scans upcoming epics and warns us: "This area historically produces 40% more hotfixes." As a tester, that's gold for planning test effort upfront.

• Bottleneck prediction — AI spots where work will pile up before it happens, helping us set smarter WIP limits.

The tester's pain point AI solves: Test complexity is finally visible in planning — not just dev effort.

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🔄 Retrospectives

Kanban retros can feel vague without sprint boundaries. AI helps by:

• Correlating retro themes with flow data — "When the team flagged 'unclear requirements,' cycle time jumped 40% and escaped defects doubled." That's the evidence testers need to push for better refinement.

• Surfacing hidden blockers — "Items spend 4.2 days stuck in 'Waiting for Test Environment' — up 60% from last quarter." Turns vague complaints into actionable problems.

• Generating targeted prompts — Instead of "What went well?", AI asks: "7 items reopened last month — what's driving the rework?"

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💬 Over to You!

• Are you using AI in your planning or retros? What's working?

• Kanban teams — has AI changed how you manage flow?

• What's one thing you'd never want AI to touch?

Let's hear it! 👇

[zoltanersek _outpostlabs_dev_]

Using AI in retros is an interesting idea, I haven't given it a try yet. One thing that would be cool is to have AI group related retro items into a single thing. 

[Anwesha Pan]

Hi @zoltanersek _outpostlabs_dev_ 

Thanks for sharing your thoughts! Using AI to group related retro items sounds like a fantastic idea. It could streamline the process and help us focus on key themes and insights.

If you decide to try it out, I'd love to hear about your experience and any results you observe! 🙂