Unreliable velocity, making forecasting useless

What have I seen successful teams doing to actually stabilize velocity.

I’ve seen teams end up with velocity numbers that mean nothing when it comes to predicting the releases.

Unreliable velocity is frustrating. It makes forecasting useless.

And when you can’t forecast, it’s nearly impossible to manage stakeholder expectations.

But what actually causes velocity to swing unpredictably from sprint to sprint?

And more importantly, what can you do to fix it?

In today’s post, I want to share what I see successful teams (that I have worked with) doing to actually stabilize velocity and make forecasting possible again.

If your team is stuck in the cycle of unpredictable velocity, this post is for you.

Let’s get started.

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