Illustrative sample · Not a client engagement

What an Assessment plan can look like

This example shows the kind of decisions the Assessment supports. The team, problems and priorities below are illustrative assumptions. They are not findings about a real client, and no productivity improvement has been measured.

The starting question

“Our engineers use coding assistants, but bug investigation still varies from person to person. What should we standardize first?”

Assumed context: one product team with issue tracking, pull-request review and automated tests. The team wants a repeatable investigation process. It has not agreed which data may be shared with hosted AI providers.

1. Map the current workflow

1. Ticket arrives: symptoms are described, but reproduction steps are inconsistent.
2. Investigation: each engineer assembles context and tries a different prompt or tool.
3. Implementation: changes may be made before the failure is covered by a test.
4. Review: reviewers reconstruct the reasoning from the diff and conversation.
5. Handoff: useful investigation patterns are rarely recorded for the next ticket.

What to verify: inspect a small agreed set of recent tickets with the team. Check where information was missing, where work was repeated and where review blocked progress. The map above is a starting hypothesis.

2. Prioritize useful changes

3. Run a bounded evaluation

Proposed trial: use the investigation brief on a small set of comparable, low-risk bug tickets. Choose the sample size and trial period with the team before starting. Keep a record of task complexity and exceptions.

• Capture the existing process on comparable tickets before introducing the change.
• Record whether a reviewer can reproduce the failure from the handoff.
• Record review rework and missing evidence, alongside elapsed time and interruptions.
• Check for regressions and whether the team finds the brief useful.
• Agree a decision rule before the trial: keep, revise or stop based on evidence quality, review burden and safety, not speed alone.

Data boundary: use sanitized examples until the team has agreed provider, confidentiality and repository-access rules. Nothing in this example assumes confidential code can be uploaded to an AI service.

4. Decide what happens next

The recommendation in this example is to improve the investigation handoff before adding more automation. The team could run that trial itself, ask for hands-on coaching, or scope an integration once the process is understood.

A real Assessment replaces these assumptions with your workflow, constraints and priorities. Scope, participants, timing and the exact deliverable format are agreed before work begins.

Related working evidence

The bug investigation checklist and internal reliability walkthrough show related engineering practices. They do not establish results for this illustrative team.