PopcornFlow Template

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PopcornFlow Template

Malcolm Bastien

This doc is my

Coda.io⁠

adaptation of the PopcornFlow method to experimentation.

Product Management leader

John Cutler⁠

posted a video called

The Work That Makes the Work Work⁠

about a change management method called PopcornFlow, originally developed by

Claudio Perrone⁠

. What attracted me to the method was how it prioritized momentum and making change continuous. One of the example Claudio gives is how a team that implemented PopcornFlow was able to run between five to ten of them a week. To be able to pull something like this off the experiments and the the process to create, prioritize and review them needs designed in a way to remove as much drag as possible.

Here's how this doc is structured:

PopcornFlow

⁠

Problems and Observations⁠

⁠

Have you and your team enter your problems and observations, options and rough experiment ideas here. Decide on the ones your team wants to commit to.

⁠

Add Experiment Details⁠

⁠

For the experiments you will commit to, flush them out with details about what you expect to happen as a result of the experiment, and other timing details.

⁠

PopcornFlow Board⁠

⁠

A simple board to see what flushed out ideas are in your backlog, and which ones are in progress.

⁠

Retrospective⁠

⁠

Follow the PopcornFlow retrospective template questions and review the results of your experiments together as a group.

Supporting Material

⁠

Links and Videos⁠

⁠

I've listed some material for those who are interested in learning more about PopcornFlow

⁠

Database Tables⁠

⁠

Here are the database tables that power the doc. You can use this page to explore how I've put them together, and to clear the databases.

⁠

Full Popcorn Flow Board⁠

⁠

If you don't so much like the guided method, I've also created a page that shows a full end-to-end PopcornFlow board, adapted for this doc.

⁠

Thoughts and Notes⁠

⁠

My notes in putting this doc together, along with some thoughts I have around PopcornFlow.

⁠

To start: Add your

Problems and Observations⁠

and create experiments for them

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