Automation candidate analysis

Evidence 7 for Module 7. Use the spreadsheet automation-candidate-analysis.tsv. It opens in Excel, LibreOffice, Numbers, and Google Sheets.

What you decide for each manual test case

Decision Meaning
Automate: unit The check is about one function's logic. Ask a developer to cover it with a unit test.
Automate: API or integration The check is about data, rules, or messages that can be tested without a browser, for example a FHIR resource.
Automate: browser The check is a critical user journey that only a real browser can prove, such as signing in, searching, or recording a result.
Keep manual The check needs human judgement: exploratory, usability, visual, or clinical workflow judgement, or it runs too rarely to repay automation.
Retire The check is duplicated, obsolete, or covered elsewhere.

Push tests down the pyramid. Choose the lowest layer that can prove the behaviour.

How to score each case

Score each from 1 (low) to 3 (high):

Column Question
risk How much harm if this behaviour breaks, especially to patients or their data?
frequency How often is this case run by hand? (1: yearly or less; 2: each release; 3: each change or weekly)
stability How stable is the feature and its screens? (1: changing often; 3: stable)
cost_to_automate How hard is it to automate? (1: easy; 3: hard, for example needs external systems)

A useful rule of thumb: automate when risk + frequency + stability is 7 or more, and cost is 1 or 2. It is a starting point, not a rule. Your reason matters more than the score.

Columns

Column What to write
case_id The manual test case id
title The case title
area Product area
hazard_id Hazard log id, if the case protects a safety control
runs_per_release How often it is run
minutes_per_run How long one manual run takes
risk, frequency, stability, cost_to_automate Scores, 1 to 3
decision One of: automate-unit, automate-api, automate-browser, keep-manual, retire
reason One line: why
existing_coverage Any unit or integration test that already covers it (from the developer workshop)
reviewed_by Mentor, or team member, who reviewed the decision

Track variants

Band 3 and Band 4 (sample of 10 cases, with the mentor)

  • The mentor chooses 10 cases with a mix of likely answers.
  • Fill in case_id, title, risk, frequency, stability, decision, and reason. Leave the other columns blank if you are unsure.
  • Band 3: explain each decision to the mentor out loud. The mentor may write it down.
  • Goal: show you can explain why some tests should be automated and some should not.

Band 5 quality assurance and Band 6 test engineering (own area)

  • Every manual regression case in your area.
  • Fill in every column.
  • Add a total at the bottom: manual minutes per release for cases marked automate-*. This is the time automation could save.
  • Goal: an analysis you can use as the backlog for Module 11 and your capstone.

Band 6 quality assurance, Band 7 test engineering, and Band 7 test management (whole product or programme)

  • Every manual regression case for the product or programme.
  • Fill in every column, and review the result with the team, including a developer and the product owner.
  • Add a summary: counts by decision, total manual minutes per release that automation could save, and the top three risks that stay manual.
  • Band 7 test management: add a one-page note on what this means for team capacity and skills.
  • Band 6 quality assurance and Band 7: use the share-and-challenge session to coach lower-band colleagues through their own decisions.
  • Goal: an analysis that can feed the automation strategy written in Automation strategy and metrics.

Worked example

case_id title risk frequency stability cost decision reason
REG-014 Patient search by NHS number returns the right patient 3 3 3 1 automate-browser Critical journey; wrong patient is a hazard; stable screen.
REG-022 NHS number check digit rejects invalid numbers 3 3 3 1 automate-unit Pure logic: a unit test proves it faster than a browser.
REG-031 Observation saved via API has the right LOINC code 3 2 3 2 automate-api Data check; no screen needed.
REG-040 New appointment screen is easy to use for clinicians 2 1 1 3 keep-manual Usability judgement; screen still changing.
REG-052 Old fax export works 1 1 3 2 retire Fax export switched off last year.

View this document on GitHub materials/modules/module-7-why-and-what-to-automate/automation-candidate-analysis.md