Performance workflows · Practical guide

Keep a performance change log

Preserve the context behind optimization work so the team can tell which change was tested and whether the complete user experience improved.

2 min read4 practical steps

An original planning guide. Use the linked primary documentation for platform details and the supported procedure for your environment.

Write the hypothesis

Name the affected page or interaction, observed problem, and proposed change. State what result would support the idea.

Record the baseline

Keep the test conditions, metric values, visual observations, and functional checks before editing. Avoid reconstructing them from memory later.

Apply one bounded change

Use an appropriate preview or staging environment. Track the exact version or configuration and any related content changes.

Compare and decide

Repeat matching checks, note variability, and inspect regressions. Record whether to retain, revise, or revert the change and why.

Worked scenario

See the plan in practice.

An image revision reduces transfer but makes product details unreadable. The log captures both effects so the team can revise the compromise.

Review your result

Your acceptance checklist

  • Hypothesis clear
  • Conditions retained
  • Decision explained

Use these checks to identify gaps in your performance experiment log. Assign an owner to any unresolved item before the next dependent step.

Primary references

For the underlying concepts and current platform details:

Continue your project

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Frequently asked questions

What you need to know.

Talk to our team

What will I produce when I keep a performance change log?

The intended deliverable is a performance experiment log.

Preserve the context behind optimization work so the team can tell which change was tested and whether the complete user experience improved.

What should I record before a performance experiment?

Write the hypothesis. Name the affected page or interaction, observed problem, and proposed change. State what result would support the idea.

Record the baseline. Keep the test conditions, metric values, visual observations, and functional checks before editing. Avoid reconstructing them from memory later.

How can I review the completed performance experiment log?

Check your performance experiment log against these acceptance points:

  • Hypothesis clear
  • Conditions retained
  • Decision explained

Repeat matching checks, note variability, and inspect regressions. Record whether to retain, revise, or revert the change and why.

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