Manual Software Testing Services | Release Testing & UAT
Software Testing (QA)

Human Testing for the Parts Where Judgment Matters

New features, real user journeys and the final check before release need a person who thinks like your users. Our testers work as part of the engineering team, so the bugs we find can be fixed by the same people, not just reported.

Core stackPlaywright · Selenium · Postman · Apache JMeter · OWASP ZAP · SonarQube · Azure DevOps · GitHub Actions

Is This You?

When Manual Testing Is Missing

Manual testing work usually starts after one release too many reached customers with problems.

Testing the same things every release?

Checks you repeat every release are often cheaper to automate. We can tell you which ones.

Automation testing
  • Bugs reach customers after every release

    Customers find problems within days of each release and support hears about them before the team does.

  • No one tests end to end before going live

    Each developer checks their own change. Nobody walks through the full journey from sign-up to payment.

  • Mobile users report issues the team never saw

    The app works on the developers' laptops but breaks on certain phones, browsers or screen sizes.

  • Release sign-off is a guess

    There is no agreed list of what must work before going live, so release decisions rest on hope.

What We Build

Six Kinds of Manual Testing

Pick one to see what it involves.

For finding what scripts miss

Exploratory testing

Testers use the product the way real users would, probing new features and edge cases that no written test anticipated.

Typical examples
  • New feature exploration
  • Edge cases and odd inputs
  • Session notes with findings
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For business sign-off

User acceptance testing support

Preparing UAT scenarios with your business users, guiding them through the sessions and turning their feedback into a clear fix list.

Typical examples
  • UAT scenarios from real workflows
  • Guided sessions with your users
  • Feedback logged as fixes
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For not breaking what worked

Regression testing before release

Checking that existing features still work after each change, focused on the areas the release touched.

Typical examples
  • Release-focused regression runs
  • Core journey checks
  • Go or no-go summary
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For users on every screen

Testing on real devices and browsers

Testing on the phones, tablets and browsers your customers use, not just on the team's own machines.

Typical examples
  • iOS and Android devices
  • Chrome, Safari, Edge and Firefox
  • Screen size and layout checks
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For repeatable checks

Test case design

Writing test cases for the journeys that matter most, so anyone on the team can run them and automation can reuse them later.

Typical examples
  • Test cases by user journey
  • Priority by business risk
  • Ready for automation later
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For fixes, not back-and-forth

Clear bug reports

Every bug comes with steps to reproduce, expected and actual results and a screenshot or recording. Our engineers can fix it too.

Typical examples
  • Steps to reproduce
  • Screenshots and screen recordings
  • Severity and priority
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Approach

Users First. Scripts Second.

Every engagement follows the same problem-first Systems Engineering Method we use across AppPotter.

  1. Learn the product

    We learn how the product is used and which journeys matter most to the business.

  2. Agree what to test

    Scope, devices, browsers and release criteria are agreed with you.

  3. Design the tests

    Test cases are written for the core journeys. Exploratory sessions cover new features.

  4. Test the release

    Exploratory, regression and device testing run before each release.

  5. Report and fix

    Bugs are reported with steps to reproduce. Our engineers can fix them if you want.

  6. Retest and sign off

    Fixes are retested and you get a clear go or no-go before going live.

Outcomes

What Changes When Testing Is Done Properly

We agree on what to measure during discovery, so success is defined before the build starts, not after launch.

  • Before: Customers finding bugs after each release

    After: Problems caught before customers see them

  • Before: Nobody checking the full journey

    After: Core journeys tested end to end before go-live

  • Before: Issues on phones the team never tested

    After: Testing on the devices and browsers your users have

  • Before: Vague bug reports that bounce back

    After: Bug reports with clear steps to reproduce

  • Before: Release decisions based on hope

    After: A clear go or no-go before every release

Technology

Chosen for Your Systems, Not Our Preferences

Manual testing is mostly people and judgment. Test cases and bugs are recorded in your own tracker. Checks worth repeating every release can move to automation with Playwright or Selenium.

Core stack

Where we have the deepest production experience

  • PlaywrightUI automation
  • SeleniumUI automation
  • PostmanAPI testing
  • Apache JMeterPerformance
  • OWASP ZAPSecurity
  • SonarQubeCode quality
  • Azure DevOpsCI/CD
  • GitHub ActionsCI/CD

Also used when the project calls for it

Unit testing
  • xUnit
  • NUnit
Performance
  • k6
Who You Work With

Senior Engineers, Directly Involved

  • Founder-led delivery

    Parth and Umesh are personally involved in every engagement.

    From scoping the work to standing behind its outcome, backed by Parth's 14+ years of enterprise technology and delivery experience.

    Meet our leadership
  • Current engagement · under NDA

    A long-term software engagement with a US-based technology company.

    Client identity and project details are undisclosed due to confidentiality obligations. We treat your work the same way.

    See our approach
Engagement

Ways to Work Together

  • Advisory & Discovery

    Short-term Strategy Engagements

    For a focused, short-term engagement - an assessment, an architecture review, or technical due diligence - before any build begins.

    • Comprehensive architecture reviews
    • Due Diligence of your tech stack
    • Roadmap and Estimation
  • Fixed Price

    Fixed Cost Model

    For clearly-scoped integration or build work, where the outcome and boundaries are already well defined.

    • Change Management process
    • Milestone-based delivery
    • Quality & SLA Commitments
  • Dedicated Team

    Dedicated Product Engineering Team

    For long-term product or systems work - a sustained AppPotter engineering team working against your roadmap, not rotated project to project.

    • Seamless onboarding and roadmap planning
    • Fixed Monthly Retainer
    • PO/Tech-lead Collaborations
Parth JotangiyaUmesh Sohaliya

Whichever structure fits, Parth and Umesh are personally involved, from scoping the engagement to standing behind its outcome.

Meet our leadership
Where This Fits

Part of Custom Engineering

We build custom only when an existing platform, integration or standard product can't solve the business problem.

Questions

Manual Testing FAQs

Still unsure? A 30-minute conversation usually answers the rest.

Book a call

Yes. Automation is good at repeating known checks. People are better at judging new features, usability and the odd paths real users take. Most products need both.

Start with the next release

Tell Us What Your Next Release Needs to Get Right

We'll look at how you test today and tell you honestly where manual testing would catch the most.

Book a GTM Systems Assessment

30-minute call · No obligation · No sales pitch

Or send us a message

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