PlaysbyMoat8
Back to the library
The workflow guideProduct & Engineering

Exercise native-app releases through repeatable user flows

Use UI automation and change context to inspect a desktop build for regressions before release.

5 implementation stepsAdvanced

How this works

Use UI automation and change context to inspect a desktop build for regressions before release. Use this to inspect a specific native application build through repeatable user flows before release. A successful build or launch does not establish that permissions, windows, file actions or recovery behavior work on the target platform.

Fix the build, operating system and test account, then execute a bounded flow matrix using available UI automation and manual observation. Capture actual visible outcomes and system dialogs. Separate product defects from test-environment limitations and report untested platform combinations.

Before you start

Release candidate

Obtain the exact app build and supported operating-system target.

Flow matrix

Select core tasks, affected areas and relevant permission states.

Test environment

Use disposable files and approved accounts with known initial state.

Prepare the inputs

build_identity
Required

version, commit and package reference

Verify the running app matches the intended candidate.

platform
Required

OS version, device and display settings

Do not generalize results to untested devices.

test_flows
Required

preconditions, actions and expected outcomes

Include relevant launch, save, reopen and error behavior.

test_artifacts
Required

disposable files and account references

Avoid modifying unrelated user data.

Implementation, step by step

  1. Establish the baseline

    • Launch the exact build and record platform and initial permissions.
    • Distinguish installation or signing problems from in-app behavior.

    Checkpoint: The starting state is reproducible.

  2. Exercise user flows

    • Perform the agreed tasks through the native interface.
    • Verify resulting files, windows or records rather than a successful automation action alone.

    Checkpoint: Each flow has an observed outcome.

  3. Inspect platform behavior

    • Check relevant dialogs, focus, shortcuts, resizing and permission prompts.
    • Test only the supported states within the agreed scope.

    Checkpoint: Platform-specific evidence is captured.

  4. Record failures

    • Capture steps, screenshots and relevant logs with expected versus actual results.
    • Classify blocked coverage separately from product failures.

    Checkpoint: Findings can be reproduced by engineering.

  5. Retest and hand off

    • Repeat affected flows after a fix and inspect nearby regressions.
    • Summarize exact coverage and unresolved issues for the release owner.

    Checkpoint: The report supports a bounded release decision.

Decisions along the way

Permission was previously granted

Reset only the agreed test state or mark first-run behavior untested.

Flow requires a real external action

Use a safe test mode or stop before execution.

Automation cannot reach a control

Inspect manually where available and distinguish tooling limits from defects.

What you will produce

native-regression-report.md

Markdown

A release-candidate review with reproducible findings.

Include: build · platform · flow · result · evidence · limits

native-coverage.csv

CSV

Explicit tested and untested combinations.

Include: flow · permission_state · device · status

Check the result

  • Confirm running build identity before recording results.
  • Verify file and record outcomes after UI actions.
  • Check first-run and existing-user states where relevant.
  • Remove secrets and unrelated personal content from evidence.

When something goes wrong

App crashes during a flow

Preserve logs and the last successful step before restarting.

Test state becomes contaminated

Restore the agreed baseline and rerun affected flows.

Installation is blocked

Report the platform limitation without claiming in-app validation.

A worked example

SYNTHETIC EXAMPLE · NOT A REPORTED BUSINESS RESULT

Request

Synthetic: test a desktop note export.

Inputs

Build B9 creates a note and exports it. With folder permission granted, export succeeds; with permission denied, the app shows success but no file exists.

Expected result

Synthetic result: report the denied-permission path as a failure with missing-file evidence. Do not call export fully validated from the successful path alone.

Run a small pilot

Start small

Test a few critical flows on one supported platform and permission matrix.

Record the baseline

Record manual regression time and failures discovered.

Agree success criteria

Agree coverage and severity criteria with the release owner.

Stop or revise

Stop claiming release readiness when the running build or output artifacts cannot be verified.

Keep the scope clear

  • Native testing does not authorize release, signing changes or broad system-permission changes.
  • Passing one device does not establish support across all platforms.

Check before using

Automated interaction does not replace coverage planning or human release judgment. Confirm installation, permissions, and real user outcomes.

Business activities

  • Build and change software

Editorially adapted workflow; not independently tested.

FROM A RECIPE TO YOUR WORKFLOW

Bring the company context together.

This workflow needs reliable inputs before it needs a better prompt. Moat8 Vault brings working information into a readable archive for the AI tools you use.

For this recipe: Candidate build · Critical user flows · Previous build and code changes

Start with one recurring task, agree which sources to use, and review the first result with your team.

Discuss this workflow

What does your team do?

Choose the recurring work you would like to improve.

A field guide, made for work.

Plays is a curated library of anonymized business workflows. Each recipe explains the inputs, steps, tools, and checks you can adapt to your team. These are editorial guides, not independently tested implementations.

When you share a company website, the guide may read a limited number of public pages on that website. Messages and retrieved page text are sent to our AI provider, NVIDIA, to recommend relevant workflows. Share a general description rather than confidential information.

Saved workflows and selected activities stay in this browser. Your chat history and selected company website are kept in this tab and cleared when you reload or start a new chat. The server does not store conversations. Live source monitoring is not enabled.

If you allow analytics, PostHog receives page views and actions such as workflow saves, skill downloads and link clicks. Random browser and session identifiers connect these actions without identifying you by name. Your choice and browser identifier expire after 90 days; sessions restart after 30 minutes of inactivity or 24 hours. We use local storage, not analytics cookies. Messages, company URLs, search text, full referrers and IP addresses are not sent. There are no person profiles or session recordings. You can decline or withdraw in Analytics settings; Do Not Track and Global Privacy Control keep analytics off.

Read the Plays Privacy Notice ↗