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GPT-5, Claude 3.7 Sonnet, or Gemini 2.5 Pro (best with long-context models that can read feature specs and existing code)Use this when a team has finished a feature spec or a pull request is nearly ready, and you need a strong first-pass test plan before QA, code review, or release sign-off.Developer Tools

Ein wiederverwendbarer Prompt, der Specs in echte Testpläne verwandelt

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Ein wiederverwendbarer Prompt, der Specs in echte Testpläne verwandelt

Why this prompt matters

Teams often ship features with happy-path coverage but miss edge cases around validation, state, permissions, retries, and billing or data integrity. A structured prompt like this shortens QA planning time and catches expensive bugs before they reach customers.

What we use it for

Use this when a team has finished a feature spec or a pull request is nearly ready, and you need a strong first-pass test plan before QA, code review, or release sign-off.

Prompt

Role: Act as a senior software test engineer and QA architect.

Context: I will give you a feature description, user story, acceptance criteria, technical notes, and optionally code snippets or API contracts. Your job is to turn that into a practical test plan that a development team can use immediately.

Task: Generate a comprehensive test package for this feature. Include functional test scenarios, edge cases, negative tests, validation rules, API-level checks if relevant, state transition checks, permission and authentication checks if relevant, regression risks, and a prioritized list of tests to automate first.

Constraints:
- Do not repeat the input back to me.
- Be specific and concrete.
- Flag missing requirements or ambiguities before listing tests.
- Separate tests by level: unit, integration, end-to-end, and exploratory.
- For each important test, include: purpose, preconditions, steps, expected result, and priority.
- Include boundary conditions, invalid inputs, empty states, loading states, partial failure cases, concurrency/race-condition risks, and rollback or retry behavior where relevant.
- If the feature touches data, include data integrity checks.
- If the feature touches APIs, include status code and error response coverage.
- If the feature touches UI, include validation, accessibility, and cross-device considerations.
- Keep the output actionable for a real engineering team.

Output Format:
1. Feature Summary (2-3 bullets)
2. Missing Requirements / Ambiguities
3. Key Risks
4. Test Matrix Table with columns: Test Level | Scenario | What to Verify | Priority
5. Detailed High-Priority Test Cases
6. Automation Recommendations
7. Regression Checklist

Feature to analyze:
[PASTE FEATURE DESCRIPTION HERE]

Acceptance criteria:
[PASTE ACCEPTANCE CRITERIA HERE]

Technical notes / code / API contract:
[PASTE TECHNICAL DETAILS HERE]

Result

Feature Summary - Users can schedule a subscription pause from the account billing page for 1 to 12 weeks. - The system must stop future charges during the pause window without canceling the subscription. - Users should see the pause dates immediately in the UI and receive a confirmation email.

Missing Requirements / Ambiguities - It is unclear whether a user can edit an existing pause window after saving it. - The spec does not say what happens if the next billing date falls on the same day the pause starts. - There is no explicit rule for overlapping pause requests made from mobile and web at nearly the same time.

Key Risks - Billing logic may continue charging active invoices already queued before the pause job runs. - UI state may show the pause as saved before the billing service confirms it. - Time-zone conversion could shift the effective pause start date for users outside UTC.

Test Matrix Unit | Validate pause duration boundaries | 1 week and 12 weeks accepted, 0 and 13 rejected | High Unit | Date normalization | Stored pause dates remain correct across time zones | High Integration | Billing service sync | Scheduled charges are skipped inside pause window | High Integration | Email confirmation | Confirmation email is triggered once after successful save | Medium End-to-end | Create pause from billing page | User can save pause dates and see updated status immediately | High End-to-end | Invalid overlapping request | Second overlapping pause request returns clear validation error | High Exploratory | Refresh and resume flows | UI remains consistent after page refresh, logout, and relogin | Medium

Detailed High-Priority Test Case Test: Prevent invalid pause durations Purpose: Ensure business rules reject unsupported pause lengths. Preconditions: User has an active monthly subscription and access to billing settings. Steps: Open the pause modal, select a 0-week duration, submit, then try 13 weeks, then try 1 week and 12 weeks. Expected result: 0 and 13 weeks are blocked with a validation message; 1 and 12 weeks save successfully. Priority: High

Automation Recommendations - Automate billing skip logic first because it has direct revenue impact. - Add API contract tests for pause creation, overlap rejection, and idempotent retries. - Add one cross-time-zone end-to-end test covering UTC and a non-UTC locale.

Regression Checklist - Subscription resume date is correct after the pause ends. - Existing invoices are not duplicated or silently canceled. - Account status, email notifications, and billing history remain consistent across web and mobile surfaces.

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Output for: Ein wiederverwendbarer Prompt, der Specs in echte Testpläne verwandelt

Gute Teams übersehen selten den happy path. Übersehen werden meist die unbequemen Teile rund um validation, retries, Zustandswechsel, Berechtigungen und partielle Fehler. Genau dort gelangen Bugs in die Produktion, besonders wenn ein Feature schnell von der Spec in die Implementierung geht.

Dieser Prompt wurde genau für diese Lücke entwickelt. Statt ein AI-Modell einfach zu bitten, "ein paar Tests zu schreiben", formuliert er die Aufgabe wie ein senior QA engineer. Die Struktur zwingt das Modell zuerst dazu, fehlende Anforderungen und Unklarheiten sichtbar zu machen und die Abdeckung danach in unit, integration, end-to-end und exploratory zu trennen, damit das Ergebnis für Entwickler und Tester wirklich brauchbar ist.

Die wichtigste Designentscheidung ist hier die Konkretheit. Jeder priorisierte Testfall verlangt purpose, preconditions, steps, expected result und priority. Dadurch bleibt die Ausgabe nah an echter Arbeit, die ein Team automate, review und track kann. Gleichzeitig reduziert das den typischen AI-Fehler: generische Listen, die gut klingen, aber einem echten Codebase-Test nicht standhalten.

Besonders nützlich ist dieser Prompt für Features rund um Geldflüsse, Nutzerberechtigungen, APIs oder UI-State. In solchen Fällen kann ein fehlender boundary check oder ein stiller retry-Bug schnell zum Supportproblem werden. Weil der Prompt ausdrücklich nach invalid inputs, empty states, concurrency-Risiken und rollback-Verhalten fragt, lenkt er das Modell in Richtung Fehlerszenarien statt oberflächlicher Zusammenfassungen.

Das Ergebnis ersetzt kein QA-Urteil. Aber es ist ein schneller Weg zu einem belastbaren ersten Entwurf, macht Unklarheiten in der Spec sichtbar und hilft bei der Entscheidung, was vor dem Release automatisiert werden sollte.

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