Skip to main content

Manual Testing in Agile: Still Relevant in 2025?

Manual Testing in Agile: Still Relevant in 2025?

With the rise of automation, AI-powered tools, and DevOps pipelines, many wonder if manual testing is still relevant in 2025. The short answer: Yes. While automation dominates regression and repetitive tasks, manual testing continues to play a vital role in Agile methodologies — especially in exploratory, usability, and acceptance testing.

In this blog, we’ll explore the significance of manual testing in Agile environments, where it fits alongside automation, and how QA professionals can maximize its value.

1. The Agile Landscape in 2025

Agile teams in 2025 deliver features faster than ever. Sprints average 1–2 weeks, and continuous delivery pipelines push code multiple times per day. In this context, automation ensures speed, but manual testing ensures quality from the user’s perspective.

2. Why Manual Testing Still Matters

  • Exploratory Testing: Humans can discover unexpected behaviors automation scripts miss.
  • Usability Testing: User experience can’t be validated by code alone.
  • Ad-hoc Scenarios: Quick checks outside of predefined scripts.
  • User Acceptance Testing (UAT): Business stakeholders often rely on manual execution.

3. Balancing Automation and Manual Testing

The Agile mantra in 2025 is clear: Automate where possible, test manually where necessary.

  • Automate repetitive regression suites and API testing.
  • Use manual testing for usability, exploratory checks, and edge cases.
  • Adopt a hybrid model where testers act as “quality coaches.”

4. Best Practices for Manual Testing in Agile

  • Collaborate closely with developers and product owners.
  • Document test charters for exploratory sessions.
  • Use session-based test management (SBTM) tools.
  • Focus on risk-based testing to prioritize efforts.

5. Tools Supporting Manual Testing

  • Jira + Xray / Zephyr: Test case management within Agile boards.
  • TestRail: Manual + automation integration.
  • qTest: Agile-ready test management with reporting.
  • PractiTest: Collaborative test documentation.

6. Common Challenges

  • Time Pressure: Agile sprints often limit exploratory bandwidth.
  • Underappreciation: Teams may undervalue manual testing compared to automation.
  • Documentation vs Speed: Striking the right balance remains tough.

7. Case Study

A fintech startup balanced automated API/UI tests with weekly exploratory sessions. They caught 20% more critical usability issues than automation alone. This highlights manual testing’s irreplaceable human insight.

8. Future of Manual Testing

AI will reduce repetitive manual work by suggesting test scenarios, but human testers remain crucial for creativity and empathy. In 2025, QA professionals are hybrid: combining automation knowledge with strong exploratory testing skills.

9. Manual Testing vs Automated Testing — A Balanced View

There has been an ongoing debate in QA about “manual vs automated testing.” In reality, both approaches complement each other:

  • Automation Strengths: Speed, accuracy, repeatability, CI/CD integration, cost savings over time.
  • Manual Strengths: Creativity, intuition, adaptability to changing requirements, usability checks.
  • Key Balance: Use automation for regression and load tests; use manual QA for edge cases, UX, and quick checks.

10. Exploratory Testing in Agile

Exploratory testing is one of the most powerful contributions of manual testers in Agile teams. It involves simultaneously learning the system, designing test cases, and executing them. Testers act as investigators, identifying risks automation cannot anticipate.

Example: A banking app may pass automated login tests, but an exploratory tester might notice usability issues like unclear error messages or confusing flows.

11. User Acceptance Testing (UAT)

UAT is still heavily manual in 2025. Stakeholders, business analysts, and end-users validate the system against real-world scenarios.

  • Why Manual? Users think in terms of outcomes, not test scripts.
  • Example: “Can I complete a purchase in under 3 minutes?”
  • Agile Relevance: UAT is usually part of sprint reviews or release cycles.

12. Domains Where Manual Testing Dominates

  • Healthcare: Life-critical systems demand human validation.
  • Finance: Compliance often requires manual checks alongside automation.
  • Gaming: Playability and experience are best judged by humans.
  • UI/UX-Heavy Apps: No automation tool can replicate emotional reactions.

13. Skills for Manual Testers in 2025

Modern manual testers are no longer just “click testers.” They need a mix of technical and soft skills:

  • Domain expertise (finance, healthcare, retail, etc.).
  • Strong exploratory testing techniques.
  • Ability to write lean, effective test cases.
  • Basic knowledge of automation to collaborate with SDETs.
  • Communication skills to bridge developers, product owners, and stakeholders.

14. Documentation Approaches

In Agile, heavy documentation slows teams. Instead, modern manual testers use lightweight but effective methods:

  • Test Charters: One-page plans for exploratory sessions.
  • Mind Maps: Visual diagrams replacing bulky test plans.
  • Shared Wikis: Agile-friendly knowledge bases (Confluence, Notion).

15. Integrating Manual Testing into CI/CD

Although CI/CD emphasizes automation, manual testing still fits in:

  • Exploratory sessions scheduled after automated smoke tests pass.
  • Manual QA checkpoints before major releases.
  • Hybrid workflows where failures in automation trigger targeted manual verification.

16. AI + Manual Testing

AI in 2025 supports manual testers rather than replacing them:

  • AI tools suggest test scenarios based on requirements or user analytics.
  • Self-healing locators reduce automation maintenance, giving testers more time for manual checks.
  • ML-based tools predict areas of high defect probability, guiding manual testing focus.

17. Common Mistakes in Manual Testing

  • Skipping exploratory sessions due to sprint deadlines.
  • Over-relying on outdated test cases instead of adapting to changes.
  • Neglecting usability or accessibility aspects.
  • Not collaborating closely with developers (leading to repeated defects).

18. Metrics for Manual Testing

Measuring manual QA is tricky but essential. Useful metrics include:

  • Defect Detection Percentage (DDP).
  • Exploratory test coverage per sprint.
  • User-reported bugs post-release (indicator of missed manual checks).
  • Tester session notes and insights recorded in retrospectives.

19. The Future Outlook

Manual testing will continue to exist in 2030 and beyond, but with a different identity: human-centric testing. Testers will spend less time on repetitive checks (thanks to automation/AI) and more on creativity, risk analysis, and ensuring delightful user experiences.

20. Conclusion

Manual testing is not dead in 2025. Instead, it has evolved into a strategic layer in Agile QA — complementing automation, uncovering hidden issues, and validating real user experience. Agile teams that ignore manual testing risk missing critical insights and delivering flawed products.


References

Comments

Popular posts from this blog

AI Agents in DevOps: Automating CI/CD Pipelines for Smarter Software Delivery

AI Agents in DevOps: Automating CI/CD Pipelines for Smarter Software Delivery Bugged But Happy · September 8, 2025 · ~10 min read Not long ago, release weekends were a rite of passage: long nights, pizza, and the constant fear that something in production would break. Agile and DevOps changed that. We ship more often, but the pipeline still trips on familiar things — slow reviews, costly regression tests, noisy alerts. That’s why teams are trying something new: AI agents that don’t just run scripts, but reason about them. In this post I’ll walk through what AI agents mean for CI/CD, where they actually add value, the tools and vendors shipping these capabilities today, and the practical risks teams need to consider. No hype—just what I’ve seen work in the field and references you can check out. What ...

Autonomous Testing with AI Agents: Faster Releases & Self-Healing Tests (2025)

Autonomous Testing with AI Agents: How Testing Is Changing in 2025 From self-healing scripts to agents that create, run and log tests — a practical look at autonomous testing. I still remember those late release nights — QA running regression suites until the small hours, Jira tickets piling up, and deployment windows slipping. Testing used to be the slowest gear in the machine. In 2025, AI agents are taking on the repetitive parts: generating tests, running them, self-healing broken scripts, and surfacing real problems for humans to solve. Quick summary: Autonomous testing = AI agents that generate, run, analyze and maintain tests. Big wins: coverage and speed. Big caveats: governance and human oversight. What is Autonomous Testing? Traditional automation (Selenium, C...

What is Hyperautomation? Complete Guide with Examples, Benefits & Challenges (2025)

What is Hyperautomation?Why Everyone is Talking About It in 2025 Introduction When I first heard about hyperautomation , I honestly thought it was just RPA with a fancier name . Another buzzword to confuse IT managers and impress consultants. But after digging into Gartner, Deloitte, and case studies from banks and manufacturers, I realized this one has real weight. Gartner lists hyperautomation as a top 5 CIO priority in 2025 . Deloitte says 67% of organizations increased hyperautomation spending in 2024 . The global market is projected to grow from $12.5B in 2024 to $60B by 2034 . What is Hyperautomation? RPA = one robot doing repetitive copy-paste jobs. Hyperautomation = an entire digital workforce that uses RPA + AI + orchestration + analytics + process mining to automate end-to-end workflows . Formula: Hyperautomation = RPA + AI + ML + Or...