Requesting a technical checklist system for workflows/features — specifically for the things that usually get missed until users get bad results.

This is not just a basic onboarding checklist. I’m asking for a preflight / runtime validation checklist that covers hidden dependencies, environment issues, and setup quality.

What this should support

1) Preflight validation checks

Before a user starts a workflow, the app should be able to verify:

• Required permissions are granted

• Required fields are actually valid (not just filled)

• Device/network requirements are met

• Feature dependencies are enabled

• Version compatibility is correct

• Required integrations/services are connected and responding

2) “Best results” checks (quality checks, not just required checks)

The checklist should support items that improve output quality, such as:

• Recommended settings selected

• Calibration/setup completed

• Demo/tutorial reviewed

• Profile/preferences tuned

• Input quality meets minimum threshold

• Optional enhancements enabled

This helps distinguish:

• Required to function

• Recommended for best results

3) Conditional checklist logic

Checklist items should be dynamic, not static.

Example:

• If user selects Theme A → show Theme A setup items

• If user is on mobile → show mobile-specific checks

• If user enables advanced mode → show extra configuration checks

• If a feature depends on subscription tier → show upgrade/availability check

4) Auto-detection + manual confirmation

Some checklist items should be:

• Auto-verified (system can detect pass/fail)

• Manual confirm (user must confirm they completed something)

• Hybrid (system checks what it can, user confirms the rest)

This is important because some “must haves” are behavioral or physical setup steps the system can’t detect directly.

5) Hard-fail vs soft-warning behavior

Checklist items should support severity levels:

• Blocker (must pass before continuing)

• Warning (can continue, but quality may drop)

• Info (helpful but optional)

This avoids forcing users through unnecessary steps while still protecting results.

6) Save state + persistence

Checklist progress should:

• Save to user account/profile

• Be tied to feature/workflow

• Be reusable for future sessions

• Reset automatically when relevant settings/version change

• Keep a timestamp for last completed check

This matters because a completed checklist may become outdated after updates.

7) Versioned checklists

A checklist should be version-aware.

If the workflow changes, the checklist should support:

• Checklist versioning

• “What changed” indicators

• Revalidation of only impacted items (not full reset)

This prevents stale setup from silently causing bad results after updates.

8) Explainability for failed checks

When a check fails, it should show:

• What failed

• Why it matters

• How to fix it

• Retry validation button

Not just a red X. Users need the recovery path.

9) Observability / analytics (important)

This feature should track:

• Which checklist items are most commonly missed

• Which failed checks correlate with poor results

• Drop-off points caused by blockers

• Time to completion

• Completion rate by device/platform/tier

This is where the feature becomes powerful: it identifies the hidden causes of low-quality outcomes.

10) Admin / builder configuration

Need a way to configure checklists per feature:

• Add/edit checklist items

• Set required/recommended status

• Set severity (blocker/warning/info)

• Define conditional logic rules

• Define validation type (auto/manual/hybrid)

• Map checks to feature versions

• Control first-run display and settings access

Why this matters

Most users don’t fail because the feature is bad — they fail because of hidden setup issues the app never surfaces.

A proper “Must Have for Best Results” checklist acts like a preflight system:

• catches silent failure points

• improves consistency

• reduces support issues

• increases success rates

• makes results more reliable

This would be a high-value feature, especially for any workflow where setup quality directly impacts outcome quality.