QA Metrics

Use simple numbers to see quality, speed, and risk.

Big Picture

One small picture can make this idea easier to hold.

Useful metrics

• Pass rate by area.
• Defect count by release.
• Flaky test rate.
• Cycle time for fixes.

Vanity metrics

• Total page views.
• Number of meetings.
• Fancy chart colors.
• Stats that do not guide action.

VerdictUseful metrics help decisions. Vanity metrics only look nice.

How It Moves

Short steps make the flow easier to see.

Pick the signal

Choose numbers that match the goal.

2

Collect data

Pull results from test runs and bugs.

3

Read trends

Look for rise, fall, or repeated issues.

4

Share action

Turn the numbers into a next step.

Step By Step

This is the same idea, stretched across time.

1. 1

   Set the question

   Decide what quality problem you want to study.

2. 2

   Gather the numbers

   Pull test and defect data.

3. 3

   Find the pattern

   See what changed over time.

4. 4

   Act on it

   Use the result to plan the next step.

One Small Model

Think of this like a tiny card you can keep in your pocket.

Release scorecard

5 fields

Pass rate:"92%"

Flaky tests:"3"

Open bugs:"11"

Cycle time:"2 days"

Risk:"Medium"

Quick Check

Question 1 of 10 correct

What is a flaky test?

A test that sometimes passes and sometimes failsA test that never runsA test that always passesA test that only checks UI colors

HintSubmit

Map It

One more picture helps you see where this lesson matters most.

Metric value map

Decision value

High

Quick win

Pass rate

High value

Flaky rate

Low value

Team mood score

Watch closely

Cycle time

Low

Easy to gatherHard to gather

Collection effort

Final Quiz

Question 1 of 30 correct

What does a flaky rate tell you?

How often tests fail without a code changeHow fast the app loadsHow many buttons the app hasHow large the team is

HintSubmit