Manual testing fills the gaps automation cannot reliably cover: ambiguous workflows, changing interfaces, usability questions, and unexpected interactions that need human judgment. Use it alongside automation—not instead of it—and focus people’s time on critical risks while automating stable checks that need frequent repetition.
When manual testing adds value
Choose a test approach based on the risk and the kind of evidence you need. Microsoft’s Azure Well-Architected testing guidance recommends aligning test types with workload maturity, risk profile, and critical scenarios. It identifies human judgment, exploratory learning, usability, and UX nuance as reasons to test manually, particularly during early development, UI changes, ambiguous flows, or when automation is not feasible. Microsoft’s testing strategy guidance also notes that manual testing costs more to scale, so reserve it for cases where human insight matters.
- Unsettled or ambiguous behavior: A new checkout flow may have acceptance criteria, but the wording, recovery options, or sequence of steps may still be changing.
- Multiple interacting states: A form may behave differently after validation errors, partial completion, or returning to a previous step. A person can investigate whether the whole experience makes sense, not just whether each specified condition passes.
- Usability and UX nuance: A tester can notice confusing copy, weak visual hierarchy, or an interaction that technically works but is difficult to understand.
- Human interpretation: A screen-reader or visual experience may warrant human review. Manual testing can surface issues, but by itself does not establish accessibility or compliance.
- Automation is not feasible or worthwhile: For a one-off investigation or a rapidly changing interface, the setup and upkeep of an automated test may exceed its value.
Manual testing does not replace unit, integration, or end-to-end testing. Those layers check components, interactions, and complete journeys in different ways. Nor does a large automated suite automatically mean critical user risks are covered: additional tests can increase pipeline execution time, cost, and maintenance. Prioritize the checks that protect important workflows and provide meaningful confidence.
Choose a manual testing technique deliberately
Manual testing includes different techniques for different kinds of uncertainty. ASTQB’s explanation of the ISTQB Foundation Level syllabus identifies checklist-based testing, error guessing, and exploratory testing as experience-based techniques. ASTQB’s section 4.4 explanation describes what each contributes.
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In exploratory testing, “tests are simultaneously designed, executed, and evaluated while the tester learns about the test object.” It is useful when investigating the feature reveals new conditions or areas to probe. Give the session a focused question—for example, “Can a returning customer recover from a declined payment without losing the cart?”—then record the important paths, observations, and risks discovered.
Checklist-based testing: revisit known risks
Use a concise checklist for important conditions that deserve deliberate attention on a release or workflow. Build it from user needs, product experience, and known failure patterns. Keep it focused on checks that require a person; the syllabus advises against checklist items that can be checked automatically or belong in entry or exit criteria.
Error guessing: probe likely weaknesses
Use knowledge of the product’s history, recurring developer mistakes, and failures seen in similar applications to target likely trouble spots in inputs, outputs, logic, interfaces, or data. This is informed probing, not proof of exhaustive coverage. Note why you tried a condition and what happened so the result is useful to someone else.
These techniques complement scripted cases: checklists provide repeatable attention to known risks, while exploration and error guessing investigate uncertainty. If a manual session uncovers a recurring risk with stable expected behavior, consider adding an automated regression check when it is viable to maintain.
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Start with the user and business outcomes that would be costly or confusing to break. For each critical workflow, decide what must run repeatedly, what requires human judgment, and what remains uncertain. A useful allocation looks like this:
| Question | Manual testing is a stronger fit when… | Automation is a stronger fit when… |
|---|---|---|
| Does the check need human judgment? | You are assessing visual hierarchy, confusing copy, nuanced interactions, or open-ended behavior. | The expected result is objective and can be checked consistently. |
| How often must it run? | It is a focused investigation or an infrequent review. | It is stable and needs frequent, repeatable execution. |
| How quickly is the interface changing? | Behavior is still ambiguous or the UI changes often enough to make scripts costly to maintain. | The behavior has stabilized and a repeatable check protects a meaningful risk. |
| What outcome is at risk? | A person needs to investigate an important workflow or interpret its experience. | A known, precisely stated failure condition can be checked consistently. |
| What does the feedback cost? | Human insight justifies the time spent. | The confidence gained justifies the runtime and ongoing maintenance. |
These are selection criteria, not a rule that every workflow must use both methods in equal measure. Revisit the balance as the interface stabilizes, new risks emerge, or maintenance costs change. ISTQB’s Test Automation Strategy qualification explicitly covers automation viability, investment, metrics, and transition activities, reflecting that these decisions are ongoing rather than permanent.
Rank #4
Plan a manual session and make its results reproducible
Before the session
- Choose the risk or question. Identify the workflow, affected user, and uncertainty to investigate. Keep a session charter narrow enough to guide attention without dictating every step.
- Set the conditions. Record the relevant build, browser or device, environment, account state, and test data. Decide how much time is available and who owns follow-up.
- Choose the method. Use a checklist for known conditions, exploratory testing for learning, or error guessing to probe likely failure points. Combine them only when each adds useful coverage.
- Define release scope and criteria when needed. For release testing, state the scope, test cases or charters, schedule, assignments, defect-reporting approach, and entry and exit criteria. Keep the plan proportional to the release’s risk.
During and after the session
- Record what you tested, the setup and data, the steps or session notes, and the expected and observed behavior.
- Attach screenshots or a recording when they clarify a failure, and include enough context for another person to reproduce it.
- Separate a confirmed defect from an observation or usability concern; describe the user impact rather than relying on a vague label such as “broken.”
- Link findings to the relevant requirement, test case, build, or defect where your team’s tools support that traceability.
- Review newly discovered risks: decide whether to fix them, investigate further, add a repeatable checklist item, or automate a stable regression check.
These records do not require a particular tool. As one product example, Microsoft’s Azure Test Plans documentation describes support for planned manual tests, exploratory sessions, stakeholder feedback, and traceability. Its bug-reporting capabilities include system information, screenshots, image action logs, and screen recordings; those are Azure product features, not universal requirements.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Use screenshots as evidence, not as a substitute for judgment
A screenshot can show the visible state associated with a usability observation or defect report, but it does not explain the steps, environment, or expected behavior. Include those details alongside the image. For repeatable capture of web pages, ScreenshotNeo is a website screenshot API and MCP server made by Yorker Media. Its API and MCP server can provide screenshots for evidence workflows, but a captured image does not replace hands-on evaluation of ambiguous behavior or usability.
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Troubleshoot a manual-testing strategy that is not working
- People repeat the same checks without finding new information. Keep stable, objective checks in automation where practical; reserve manual sessions for judgment, uncertainty, and targeted exploration.
- Exploratory sessions produce vague bug reports. Add a focused charter, capture the environment and setup, and record steps or session notes plus expected and observed behavior.
- Manual testing is consuming too much release time. Reassess which checks protect critical workflows, which can be automated reliably, and whether the release plan is proportional to risk.
- The automated suite is slow or expensive to maintain. Review whether each test provides meaningful confidence, whether a lower test layer can cover the risk, and whether unstable UI behavior is making scripts brittle.
- A defect cannot be reproduced. Include the build, browser or device, data and account state, steps, and diagnostic evidence that clarify the failure.
- A checklist keeps growing. Remove items that are automated or are entry/exit criteria, and retain concise checks where a person adds value.
A 2015 ISTQB survey collected more than 3,200 responses from 89 countries and listed use cases and exploratory testing among widely adopted business-practice techniques. It is historical context, not a current measure of industry practice or of manual testing’s effectiveness. The available sources do not establish a current representative percentage for manual testing’s share or success.
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