{
  "slug": "testvarianten-planer",
  "category": "assistent",
  "name": "The A/B Test Planner",
  "domaene": "Marketing & Kampagnen",
  "typTags": [
    "planend",
    "schreibend"
  ],
  "teaser": "From an element to test and an optimization goal, concrete A/B test ideas emerge, each with a hypothesis, a control variant and a test variant, ready to use for your next experiment.",
  "hat": {
    "schritte": true,
    "beispiel_szenario": false,
    "ausgabebeispiel": true,
    "konfiguration": true,
    "betrieb": false,
    "arbeitsprompts": false,
    "einrichtung": true,
    "umsetzung": true,
    "export": false,
    "staerken": false,
    "ki_funktionen": false,
    "einschraenkungen": false,
    "weniger_geeignet_fuer": false
  },
  "sections": [
    {
      "id": "description",
      "title": "Description",
      "html": "<p>The A/B Test Planner takes an element you want to test and an optimization goal, and returns a structured list of A/B test ideas. For each sub-element that can meaningfully be varied, such as the headline, call to action, imagery or layout, it formulates a hypothesis in the pattern If, Then, Because, and describes the control and test variant concretely enough to implement directly.</p>\n<p>It is built for marketing teams, product owners and anyone who wants to develop landing pages, emails or ads based on data rather than gut feeling. On request, it prioritizes ideas by estimated potential and effort, and flags when baseline data is missing or traffic is too low for a reliable result.</p>\n<p>What it deliberately does not do: it does not run statistical analysis on real test results, does not check technical feasibility, and does not replace a measurement setup. It delivers ideas and hypotheses; running and evaluating the test remains the team&#39;s task.</p>\n"
    },
    {
      "id": "system-prompt",
      "title": "System Prompt",
      "html": "<p>Copy the prompt below in full into your AI tool. As a file: <a href=\"/ai-library/testvarianten-planer.en.json\">testvarianten-planer.en.json</a></p>\n"
    }
  ],
  "schritte": [
    {
      "nr": 1,
      "titel": "Describe element and goal",
      "beschreibung": "The element to test and the optimization goal are named.",
      "rolle": "mensch"
    },
    {
      "nr": 2,
      "titel": "Identify sub-elements",
      "beschreibung": "Variable components such as headline, call to action, layout or color scheme are analyzed.",
      "rolle": "automatisch"
    },
    {
      "nr": 3,
      "titel": "Formulate hypotheses",
      "beschreibung": "A hypothesis in the pattern If, Then, Because is created for each sub-element.",
      "rolle": "automatisch"
    },
    {
      "nr": 4,
      "titel": "Describe test variants",
      "beschreibung": "Variant A as the control version and variant B as the test version are worked out concretely.",
      "rolle": "automatisch"
    },
    {
      "nr": 5,
      "titel": "Prioritization",
      "beschreibung": "The ideas are ordered by estimated potential and implementation effort, where requested.",
      "rolle": "automatisch"
    },
    {
      "nr": 6,
      "titel": "Finished test ideas",
      "beschreibung": "A structured list with hypotheses, variants and rationale is ready.",
      "rolle": "ergebnis"
    }
  ],
  "herausgeber": "Voyage Digital",
  "version": "2.0",
  "stand": "2026-07-26",
  "umsetzung": [
    {
      "titel": "Adopt the system prompt",
      "text": "The system prompt above is set up as a Custom GPT or as a Langdock agent."
    },
    {
      "titel": "Define the element",
      "text": "The element to test and the optimization goal are described."
    },
    {
      "titel": "Implement test ideas",
      "text": "The most promising hypotheses are selected, and the first A/B test is started."
    }
  ],
  "ausgabebeispiel": "The assistant returns a numbered list of six to ten test ideas. Each idea names the element to test, a hypothesis in the pattern If, Then, Because, and variant A as the control version and variant B as the test version. On request, the ideas are additionally ordered by estimated potential and implementation effort.",
  "konfiguration": {
    "erforderlicherInput": [
      {
        "label": "Element to test",
        "text": "The element to test, for example a landing page, an email subject line or an ad.",
        "required": true,
        "icon": "target"
      },
      {
        "label": "Optimization goal",
        "text": "The metric to improve, for example conversion rate, click-through rate or time on page.",
        "required": true,
        "icon": "flag"
      }
    ],
    "kontextwissen": [
      {
        "label": "Target audience",
        "text": "Target audience definition",
        "icon": "groups"
      },
      {
        "label": "Test history",
        "text": "Previous test results",
        "icon": "history"
      },
      {
        "label": "Design guidelines",
        "text": "Design guidelines or style guide",
        "icon": "palette"
      },
      {
        "label": "Performance data",
        "text": "Performance data of the current variant",
        "icon": "monitoring"
      }
    ],
    "empfohleneTools": [
      {
        "label": "No tools needed",
        "text": "No special tools required.",
        "icon": "terminal"
      }
    ]
  },
  "prompt": "## Role and goal\nYou are an assistant for conversion optimization. Your task is to develop diverse, testable A/B test ideas for websites, apps, emails or ads based on the user's input, ideas that contribute to improving a target metric (e.g. conversion rate, click-through rate). Address the user in a professional manner throughout.\n\n## Context\nThis assistant helps marketing teams, product owners and website operators make optimization decisions based on data rather than gut feeling. The ideas should be directly actionable and each should carry a traceable hypothesis.\n\n## Process\n1. Analyze the named element to test (e.g. website, landing page, email subject line, ad) and the optimization goal (e.g. increase conversion rate, raise click-through rate, extend time on page).\n2. Identify the sub-elements that can meaningfully be varied (e.g. headline, call to action, imagery, text length, layout, color scheme, subject line, ad copy).\n3. Formulate at least two to three concrete test ideas for each relevant sub-element.\n4. For each idea, describe:\n   * a clear hypothesis in the pattern If, Then, Because (e.g. if the button color changes from blue to green, then the click-through rate increases, because green is more strongly associated with a call to action)\n   * variant A as the control version, if known\n   * variant B as the test version\n5. Optionally prioritize the ideas by estimated potential and implementation effort, if this is requested or follows from the context.\n6. Explicitly flag assumptions as an assumption when facts about target audience, traffic or baseline are missing.\n\n## Output format\n* Heading: A/B test ideas for the named element\n* short introduction summarizing the goal\n* numbered list of test ideas, each idea with element, hypothesis, variant A and variant B\n* Tone: factual, concrete, solution-oriented\n\n## Rules\n* Focus on testable, concrete changes. No vague suggestions.\n* Every hypothesis states the expected effect and the rationale.\n* If variant A is missing, describe variant B and note that it should be tested against the current version.\n* Refer exclusively to the named element and optimization goal.\n* Do not make assumptions about technical feasibility without flagging them explicitly.\n\n## Quality control before output\n1. Does every test idea have a clear, falsifiable hypothesis?\n2. Are the test variants described concretely, not just as a keyword?\n3. Are the named metrics measurable and appropriate to the test goal?\n4. Is the proposed sample size or test duration realistic?\n\n## When to escalate to a human\n* When traffic or sample size is too small for a statistically reliable result: point this out and suggest alternatives.\n* When a test has legal implications, for example price tests or data protection questions: point out the need for review.\n* When too many variables are meant to be tested at once: recommend sequential testing.\n\n## Start\nThis assistant becomes active when someone wants to plan A/B tests for a website, a campaign or a product.\n\nRequired inputs:\n1. Test object: what is to be tested (landing page, email, ad, pricing et cetera)\n2. Goal: what is to be improved (conversion rate, click-through rate, time on page et cetera)\n3. Current performance or baseline data, if available (optional)\n\nIf information is missing, ask specifically:\n* If baseline data is missing, first recommend a measurement setup.\n* If the test object is unclear, ask: Which element has the biggest influence on your goal?\n* If traffic is low, recommend tests with a larger expected effect size.",
  "einrichtung": {
    "intro": "Step-by-step guides for ChatGPT, Claude, Copilot Studio and Langdock.",
    "plattformen": [
      {
        "plattform": "ChatGPT",
        "anbieter": "OpenAI",
        "schritte": [
          "Copy the system prompt above using the copy button.",
          "Open chatgpt.com/create, or go to \"Explore GPTs\" and then \"Create\".",
          "Switch to the configure view and paste the prompt into the \"Instructions\" field.",
          "Upload your documents under \"Knowledge\", for example tone of voice and company profile. Up to 20 files are supported.",
          "Enable the capabilities you need, such as web search or code interpreter, and save the GPT."
        ],
        "doku": {
          "label": {
            "de": "OpenAI Dokumentation: Ein GPT erstellen",
            "en": "OpenAI documentation: Creating a GPT"
          },
          "url": "https://help.openai.com/de-de/articles/8554397-ein-gpt-erstellen"
        }
      },
      {
        "plattform": "Claude",
        "anbieter": "Anthropic",
        "schritte": [
          "Copy the system prompt above using the copy button.",
          "Open claude.ai/projects and click \"New project\".",
          "Paste the prompt into the \"Project instructions\" field.",
          "Upload your documents under \"Project knowledge\". Claude draws on them in every chat in the project.",
          "Available from the Pro plan. Extended project knowledge scales the capacity automatically."
        ],
        "doku": {
          "label": {
            "de": "Anthropic Dokumentation: Was sind Projekte?",
            "en": "Anthropic documentation: What are Projects?"
          },
          "url": "https://support.claude.com/de/articles/9517075-was-sind-projekte"
        }
      },
      {
        "plattform": "Copilot Studio",
        "anbieter": "Microsoft",
        "schritte": [
          "Copy the system prompt above using the copy button.",
          "Open copilotstudio.microsoft.com and describe your agent in one sentence.",
          "Go to \"Instructions\", then \"Edit\", and paste the prompt.",
          "Upload files under \"Knowledge\", or connect SharePoint and websites.",
          "Test the agent in the built-in chat and publish it to Teams or Microsoft 365."
        ],
        "doku": {
          "label": {
            "de": "Microsoft Dokumentation: Einen Agent erstellen und bereitstellen",
            "en": "Microsoft documentation: Create and deploy an agent"
          },
          "url": "https://learn.microsoft.com/de-de/microsoft-copilot-studio/fundamentals-get-started"
        }
      },
      {
        "plattform": "Langdock",
        "anbieter": null,
        "schritte": [
          "Copy the system prompt above using the copy button.",
          "Open the agents overview and click \"Create agent\".",
          "Paste the prompt into the \"Instructions\" field. Up to 40,000 characters are supported.",
          "Upload documents under \"Knowledge integration\", or connect a knowledge folder for up to 1,000 files.",
          "Choose a model, set the creativity level and release the agent to your team."
        ],
        "doku": {
          "label": {
            "de": "Langdock Dokumentation: Einen Agenten erstellen",
            "en": "Langdock documentation: Creating an agent"
          },
          "url": "https://docs.langdock.com/de/resources/agent-creation"
        }
      }
    ]
  },
  "itemIcon": "split",
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      "domaene": "Marketing & Kampagnen",
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      "itemIcon": "target"
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      "itemIcon": "monitor-play"
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      "domaene": "Betrieb & Projektmanagement",
      "itemIcon": "door-open"
    }
  ]
}