{
  "slug": "persona-raster",
  "category": "skill",
  "name": "The Persona Grid",
  "domaene": "Marketing & Kampagnen",
  "typTags": [
    "strukturierend",
    "planend"
  ],
  "teaser": "The Persona Grid turns your customer segments into two to three fully developed buyer personas, each complete with goals, pain points and a concrete messaging recommendation.",
  "hat": {
    "schritte": true,
    "beispiel_szenario": true,
    "ausgabebeispiel": false,
    "konfiguration": false,
    "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 Persona Grid takes your existing customer data, identifies patterns in it, and works out two to three clearly distinguishable buyer personas. Each persona covers eleven dimensions, from demographic details through pain points and purchase criteria to trigger events and a concrete messaging recommendation. This turns a vague idea of your target audience into a working tool that marketing, sales and product development can actually use, rather than a document that ends up in a drawer.</p>\n<p>The grid is built for teams who already think about their target audience in segments but have not yet built differentiated personas from them, for example before setting up a new campaign, a new offer or a content plan.</p>\n<p>The limitation: without real customer data or CRM insights, personas remain assumptions. The grid flags this in the result, but it does not replace validation with real customers or with the sales team. For strongly heterogeneous or very small customer groups, splitting into three cleanly distinguishable personas can reach its limits.</p>\n"
    },
    {
      "id": "skill-text",
      "title": "Skill Text",
      "html": "<p>Copy the prompt below in full into your AI tool. As a file: <a href=\"/ai-library/persona-raster.en.json\">persona-raster.en.json</a></p>\n"
    }
  ],
  "schritte": [
    {
      "nr": 1,
      "titel": "Provide the customer data",
      "beschreibung": "Company, industry, existing customer segments and typical use cases are entered.",
      "rolle": "mensch"
    },
    {
      "nr": 2,
      "titel": "Analyze customer segments",
      "beschreibung": "Patterns in the existing data are identified and different buying roles are worked out.",
      "rolle": "automatisch"
    },
    {
      "nr": 3,
      "titel": "Identify persona types",
      "beschreibung": "Two to three clearly distinguishable persona types are defined.",
      "rolle": "automatisch"
    },
    {
      "nr": 4,
      "titel": "Develop the personas",
      "beschreibung": "Each persona is fully developed across all eleven dimensions.",
      "rolle": "automatisch"
    },
    {
      "nr": 5,
      "titel": "Derive marketing recommendations",
      "beschreibung": "Messaging, content topics and channels are differentiated for each persona.",
      "rolle": "automatisch"
    },
    {
      "nr": 6,
      "titel": "Two to three buyer personas",
      "beschreibung": "Fully developed personas with pain points, trigger events and concrete marketing recommendations are ready.",
      "rolle": "ergebnis"
    }
  ],
  "herausgeber": "Voyage Digital",
  "version": "2.0",
  "stand": "2026-07-26",
  "umsetzung": [
    {
      "titel": "Gather customer data",
      "text": "CRM insights and feedback from sales are gathered before the skill is run."
    },
    {
      "titel": "Run the skill",
      "text": "The skill text is copied and the placeholders are filled in with the relevant customer data."
    },
    {
      "titel": "Validate the personas",
      "text": "The resulting personas are cross checked with sales and customer service."
    },
    {
      "titel": "Create persona cards",
      "text": "Visual persona cards are created from the personas, accessible to the whole team."
    },
    {
      "titel": "Use for campaigns",
      "text": "The validated personas serve as the targeting basis for content and campaigns."
    }
  ],
  "zutaten": [
    "Company",
    "Industry",
    "Customer segments",
    "Use cases"
  ],
  "beispielSzenario": "A B2B SaaS company wants to understand its target audience more precisely ahead of the next campaign. The marketing manager enters the industry, product and the existing customer segments. The skill delivers two to three fully developed personas, each with its own pain points, purchase criteria and a messaging recommendation ready to use for the planned campaign.",
  "eingaben": [
    {
      "feld": "Company or product",
      "pflicht": true
    },
    {
      "feld": "Industry",
      "pflicht": true
    },
    {
      "feld": "Existing customer segments",
      "pflicht": true
    },
    {
      "feld": "Typical use cases",
      "pflicht": true
    },
    {
      "feld": "Price segment",
      "pflicht": false
    },
    {
      "feld": "Sales cycle length",
      "pflicht": false
    },
    {
      "feld": "Existing customer data or CRM insights",
      "pflicht": false
    },
    {
      "feld": "Market, for example DACH or global",
      "pflicht": false
    },
    {
      "feld": "B2B or B2C",
      "pflicht": false
    }
  ],
  "ausgabe": "Two to three fully developed personas, each 400 to 800 words, each with a name, demographic details, goals, pain points, information sources, purchase criteria, objections, preferred channels, trigger events, a messaging recommendation and matching content topics.",
  "prompt": "# DESCRIPTION\nYou create data based buyer personas with demographic details, goals, pain points, purchase behavior and communication preferences. Address the user in a professional manner throughout. Per persona, you provide concrete marketing and messaging recommendations. Where facts are missing, explicitly mark assumptions as an assumption and separate them from confirmed details.\n\n# INPUT\n- Company or product (required)\n- Industry (required)\n- Existing customer segments (required)\n- Typical use cases (required)\n- Price segment (optional)\n- Sales cycle length (optional)\n- Existing customer data or CRM insights (optional)\n- Market, for example DACH or global (optional)\n- B2B or B2C (optional)\n\n# OUTPUT\n- Format: two to three fully developed buyer personas\n- Structure per persona:\n  1. Name and brief description of the person\n  2. Demographic details (age, position, company, industry)\n  3. Professional goals (top 3)\n  4. Pain points and challenges (top 5)\n  5. Information sources (media, events, communities)\n  6. Purchase criteria and decision process\n  7. Typical objections\n  8. Preferred communication channels\n  9. Trigger events, meaning the moment when the need becomes acute\n  10. Messaging recommendation for this persona\n  11. Content topics that resonate with this persona\n- Length: 400 to 800 words per persona\n\n# CONTEXT\n- Global placeholders: COMPANY, INDUSTRY, TARGET_AUDIENCE, PRODUCTS_SERVICES\n- Skill specific: CUSTOMER_SEGMENTS, ICP_CRITERIA\n- Domain knowledge: target audience analysis, buyer persona development, customer journey mapping\n- Constraint: personas are based on available data and assumptions. Mark assumptions as such and recommend validation with real customers.\n\n# WORKING INSTRUCTIONS\n\n## Step 1: Analyze customer segments\nAnalyze existing customer data and segments, identify patterns.\n- Rule: work data based, not on a hunch\n- Rule: identify different buying roles (decision maker, influencer, user)\n- No go: generic personas with no industry relevance\n\n## Step 2: Identify persona types\nDefine two to three clearly distinguishable persona types.\n- Rule: each persona represents a real customer segment\n- Rule: personas differ in at least three dimensions\n- No go: personas that differ only in name\n\n## Step 3: Develop the personas\nDevelop each persona fully across all eleven dimensions.\n- Rule: phrase pain points specifically, not as \"has little time\"\n- Rule: name trigger events concretely, meaning exactly when the pressure to act arises\n- Rule: derive objections from real sales conversations where available, otherwise mark them as an assumption\n\n## Step 4: Derive marketing recommendations\nFormulate concrete messaging and content recommendations per persona.\n- Rule: recommendations fit the customer journey\n- Rule: differentiate channels and formats per persona\n- No go: generic recommendations that read the same for every persona\n\n# QUALITY CONTROL\n[ ] Two to three personas fully developed\n[ ] Each persona has a memorable name\n[ ] Pain points are specific, not generic\n[ ] Trigger events are named concretely\n[ ] Typical objections are documented\n[ ] Marketing recommendations are concrete and actionable\n[ ] Personas are clearly differentiated from one another\n[ ] Content topics are defined per persona\n[ ] Assumptions are marked as an assumption where facts were missing\n\n# CONVERSATION START\nHello. Let's build your buyer personas together. For this I need the following from you:\n\n1. Company or product: what do you offer?\n2. Industry: which market are you operating in?\n3. Customer segments: which customer groups do you have today?\n4. Use cases: what do customers use your product for?\n5. Optional: price segment, sales cycle length, existing customer data\n\nBased on this I will create two to three detailed personas with concrete marketing recommendations for you.",
  "einrichtung": {
    "intro": "Step-by-step guides for ChatGPT, Claude, Copilot Studio and Langdock.",
    "plattformen": [
      {
        "plattform": "ChatGPT",
        "anbieter": "OpenAI",
        "schritte": [
          "Copy the skill text above using the copy button.",
          "Click your profile picture and select \"Skills\".",
          "Click \"Create skill\" and paste the copied text as the instruction.",
          "Adjust inputs, outputs and format where your case requires it.",
          "Save the skill. It is available in all chats from that point on."
        ],
        "doku": {
          "label": {
            "de": "OpenAI Dokumentation: Skills in ChatGPT",
            "en": "OpenAI documentation: Skills in ChatGPT"
          },
          "url": "https://help.openai.com/de-de/articles/20001066-skills-in-chatgpt"
        }
      },
      {
        "plattform": "Claude",
        "anbieter": "Anthropic",
        "schritte": [
          "Copy the skill text above using the copy button.",
          "Open claude.ai and go to \"Skills\" in your profile.",
          "Create a new skill and paste the copied text as the instruction.",
          "The skill works in claude.ai, in Claude Code and through the API.",
          "Available on the Pro, Max, Team and Enterprise plans."
        ],
        "doku": {
          "label": {
            "de": "Anthropic Dokumentation: Benutzerdefinierte Skills erstellen",
            "en": "Anthropic documentation: Creating custom skills"
          },
          "url": "https://support.claude.com/de/articles/12512198-benutzerdefinierte-skills-erstellen"
        }
      },
      {
        "plattform": "Copilot Studio",
        "anbieter": "Microsoft",
        "schritte": [
          "Copy the skill text above using the copy button.",
          "Open Copilot Studio and create a new agent.",
          "Paste the copied text as the instruction.",
          "Connect knowledge sources and tools where needed.",
          "Publish the agent for yourself or for your organisation."
        ],
        "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 skill text above using the copy button.",
          "Open the sidebar and click \"Add skill\".",
          "Paste the copied text directly as the instruction.",
          "Connect the skill to integrations such as Gmail or Slack where needed.",
          "Save the skill and release it for yourself or your team."
        ],
        "doku": {
          "label": {
            "de": "Langdock Dokumentation: Skills",
            "en": "Langdock documentation: Skills"
          },
          "url": "https://docs.langdock.com/de/product/chat/skills"
        }
      }
    ]
  },
  "itemIcon": "user-round",
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}