Good automation candidate
Stable login, API health, permission or smoke checks that run often and fail clearly.
StableRepeatableUseful
Automation Support
Automation support without the hype
Not every check should be automated. I help identify the checks that are stable, repeated and useful enough to maintain.
When this helps
Use this when your team repeats the same checks every release, has Postman requests that could be structured better, or wants a realistic automation plan before investing in a larger setup.
What I check
- Automation candidate review
- Smoke vs regression coverage planning
- Postman collection structure and assertions
- Manual vs automated check decisions
- Flaky-test risk review
- Repeatable QA workflow improvements
Common problems
Stable and unstable checks are mixed in the same suite
I check how this behaves in the real flow and whether it can block, confuse or mislead a user.
Tests fail often but do not explain what broke
I check how this behaves in the real flow and whether it can block, confuse or mislead a user.
Assertions are too weak to catch real problems
I check how this behaves in the real flow and whether it can block, confuse or mislead a user.
The team automates flows that still change too often
I check how this behaves in the real flow and whether it can block, confuse or mislead a user.
Manual release checks are repeated without a clear plan
I check how this behaves in the real flow and whether it can block, confuse or mislead a user.
Postman collections work for one tester but not for the team
I check how this behaves in the real flow and whether it can block, confuse or mislead a user.
Example checks
What you get
Automation candidate list
A practical list of checks worth automating first, with reasoning and priority.
Regression structure
A clearer split between smoke checks, regression checks and exploratory checks.
Postman support notes
Improved API requests, environments, assertions or collection structure.
Example finding
Automation candidate: POST /api/v1/session/login Why automate: Stable flow, high release importance, clear pass/fail result. Keep manual: New checkout redesign with changing UX and unclear acceptance criteria. Reason: Automating unstable behaviour creates flaky tests and false confidence.
Good fit
- Your team repeats the same manual checks every release
- You have API checks that could become repeatable
- You want better regression structure before building a large framework
- Your current automated checks feel flaky, unclear or low value
Not the best fit
- You expect every check to be automated immediately
- The product changes too fast for stable repeatable checks
- You need a full-time automation engineer instead of focused support
How it usually runs
1
Review current checks
Understand what is manual, automated and painful today.
2
Separate check types
Split smoke, regression, exploratory and API checks.
3
Prioritise candidates
Choose stable checks with clear release value.
4
Improve structure
Support better naming, grouping, assertions and repeatability.
Related examples
A few useful pages that show how this kind of work is reported.
FAQ
Do you build full automation frameworks?
I can support automation structure and checks, but I keep the scope honest. Not every team needs a large framework first.
Can you help with Postman automation?
Yes. Postman is often a practical starting point for API regression checks.
What should not be automated?
Unstable flows, unclear requirements and checks that need human judgement are usually poor first candidates.
Want more repeatable QA without over-engineering it?
Send what your team repeats manually and what keeps breaking.