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Continuous improvement

Project Retrospective Preparation
Managed AI Workflows.

Prepare a balanced retrospective from project evidence and participant feedback.

THE OPPORTUNITY

Start where the work
gets held up.

Retrospectives lose value when they become a list of complaints or a polished narrative that hides disagreement.

Help teams examine specific events and choose improvements they can verify.

A WORKFLOW WORTH EXPLORING

Completed phase-to-retrospective packet

A facilitator authorizes review of a project or phase.

Summarize themes and examples, preserving differing accounts and separating observation from interpretation.

WHERE JUDGMENT BELONGS

Make the review point explicit.

The team verifies the account and agrees on a small set of owned improvement actions.

Work within the real constraints.

Do not infer intent or assign blame from isolated messages. Sensitive feedback needs appropriate access controls.

Success needs
a useful measure.

Measure unsupported interpretations, omitted perspectives, actionable improvements and preparation effort.

Before expanding the workflow, compare the result with the current process. Include review effort and exceptions in that comparison so the improvement reflects the team's actual experience.

Read the implementation guide ↗
CHOOSE THE RIGHT SUPPORT

Build it. Build with us.
Or have us manage it.

The workflow stays centered on your business. The engagement determines who learns, implements and operates it.

DIY

Your team owns the build.

Start with AI workflow training and the Factory Line source package. Workshop support is available when you need feedback.

Explore the $2,500 package ↗
DFY

We manage the foundation.

Include all the learning and guidance, with ownership of agreed operations and major implementation decisions.

Explore managed delivery ↗
START WITH YOUR WORK

Where is your team
doing too much by hand?

Bring a process, a bottleneck, or an idea. We'll help you decide what to automate, what to keep under human review, and where to begin.