{
  "slug": "benchmark-raster",
  "category": "skill",
  "name": "The Benchmark Grid",
  "domaene": "Recherche & Wissensmanagement",
  "typTags": [
    "recherchierend",
    "analytisch"
  ],
  "teaser": "Places your key metrics next to solid industry benchmarks and turns the comparison into an action plan, not just a numbers exercise.",
  "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 Benchmark Grid answers a simple, often uncomfortable question: how well are you really doing by comparison. It researches industry-standard metrics and leading figures for an area you choose, sets them against your own data, and flags the gaps with a traffic-light rating. Built for executives and department heads who want to back a decision with numbers instead of gut feel, for example on newsletter metrics, sales cycles or operating costs.</p>\n<p>The comparison does not stop at a table, it becomes a report with concrete starting points: specific practices from the top performers and a short action plan sorted by impact and effort. Quick wins are placed deliberately first.</p>\n<p>The limitation matters as much as the function: industry benchmarks are reference points, not fixed standards. Quality depends on the availability of solid comparison data for your specific area. Where that data is thin, it belongs marked as an assumption, not sold as an established finding.</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/benchmark-raster.en.json\">benchmark-raster.en.json</a></p>\n"
    }
  ],
  "schritte": [
    {
      "nr": 1,
      "titel": "Set the benchmarking frame",
      "beschreibung": "The KPI or area to compare, the current performance figures, and the comparison group are provided.",
      "rolle": "mensch"
    },
    {
      "nr": 2,
      "titel": "Research and comparison",
      "beschreibung": "Industry benchmarks are researched from several sources, a gap analysis with a traffic-light rating is built, and best practices are identified.",
      "rolle": "automatisch"
    },
    {
      "nr": 3,
      "titel": "Benchmark report",
      "beschreibung": "A gap analysis table, the practices of the top performers, and a prioritized action plan with a maximum of seven points are ready.",
      "rolle": "ergebnis"
    },
    {
      "nr": 4,
      "titel": "Prioritize measures",
      "beschreibung": "The measures with the best ratio of impact to effort are implemented first.",
      "rolle": "mensch"
    }
  ],
  "herausgeber": "Voyage Digital",
  "version": "2.0",
  "stand": "2026-07-26",
  "umsetzung": [
    {
      "titel": "Gather the underlying figures",
      "text": "The relevant KPIs and numbers for the area to be compared are collected in advance."
    },
    {
      "titel": "Set up the skill",
      "text": "The skill text is copied and filled in with the benchmarking subject, the current figures, and the comparison group."
    },
    {
      "titel": "Create and check the report",
      "text": "The benchmark report is generated and the source references are spot checked."
    },
    {
      "titel": "Implement quick wins first",
      "text": "From the action plan, the points with the best ratio of impact to effort are tackled first."
    }
  ],
  "zutaten": [
    "KPI or area",
    "Own key figures",
    "Comparison group"
  ],
  "beispielSzenario": "A newsletter reaches an open rate of 38 percent and a click rate of 4.2 percent. Is that good? The skill researches benchmark figures for B2B SaaS newsletters in the DACH region and compares them with the actual numbers. Result: the open rate sits above average, while the click rate lags behind the median. As a best practice, the report shows that top performers work with segmented mailing lists and personalized calls to action.",
  "eingaben": [
    {
      "feld": "Benchmarking subject",
      "pflicht": true
    },
    {
      "feld": "Your own current performance data",
      "pflicht": true
    },
    {
      "feld": "Comparison group",
      "pflicht": true
    },
    {
      "feld": "Specific KPIs or metrics",
      "pflicht": false
    },
    {
      "feld": "Known industry benchmarks or studies",
      "pflicht": false
    },
    {
      "feld": "Target values sought",
      "pflicht": false
    }
  ],
  "ausgabe": "A short summary of the key findings, an overview of the performance data, researched industry figures with sources, a gap analysis as a traffic-light table, best practices from top performers, and a prioritized action plan with a maximum of 7 points.",
  "prompt": "# DESCRIPTION\nRuns a systematic benchmark analysis. Researches industry metrics, sets them against your own performance, identifies gaps, and derives concrete improvement measures from them. Address the user in a professional manner throughout. Where facts are missing or uncertain, mark this explicitly as an assumption rather than presenting it as established.\n\n# INPUT\n- Benchmarking subject: process, KPI or area (required)\n- Your own current performance data (required)\n- Comparison group: industry, competitors, top performers (required)\n- Specific KPIs or metrics (optional)\n- Known industry benchmarks or studies (optional)\n- Target values sought (optional)\n\n# OUTPUT\n1. Summary: key findings in 5 to 7 sentences\n2. Benchmarking frame: what is being compared, with whom, why\n3. Own performance: overview of your own KPIs\n4. Industry benchmarks: researched comparison values with sources\n5. Gap analysis: table with traffic-light rating (green, yellow, red)\n6. Best practices: what the top performers do differently\n7. Action plan: maximum of 7 prioritized measures by impact and effort\n\n# CONTEXT\n- Placeholders: COMPANY, INDUSTRY, TARGET AUDIENCE\n- Expertise: benchmarking methodology, KPI definitions, statistics\n- Constraint: benchmark values are reference points, not absolute standards. Where the data situation is thin, mark this explicitly as an assumption.\n\n# WORKING INSTRUCTIONS\n## Step 1: Set the frame\nClarify what is being compared, with whom, and against which metrics.\n\n## Step 2: Document own performance\nCompile all relevant KPIs in a structured form, including the time period.\n\n## Step 3: Research industry benchmarks\nDraw on at least 3 sources per KPI. Distinguish between average, median and top performers.\n\n## Step 4: Create the gap analysis\nPer KPI: your own value, benchmark value, deviation, traffic-light rating.\n\n## Step 5: Work out best practices\nAt least 3 concrete practices with examples.\n\n## Step 6: Create the action plan\nMaximum of 7 measures, prioritized by impact times effort. Quick wins first.\n\n# QUALITY CONTROL\n- Benchmarking frame clearly defined\n- Own performance data fully documented\n- At least 3 sources per industry benchmark\n- Gap analysis presented as a table with traffic-light rating\n- Strengths and weaknesses named\n- At least 3 best practices with examples\n- Action plan with a maximum of 7 prioritized points\n- Sources and data collection periods stated\n- Assumptions clearly separated from substantiated statements\n\n# CONVERSATION START\nHello. What would you like to compare? Tell me the KPI or area, your current figures, and the comparison group. From this I will put together a well-founded benchmark analysis with concrete recommendations for action.",
  "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": "gauge",
  "recommended": [
    {
      "slug": "wettbewerbs-raster",
      "category": "skill",
      "name": "The Competitor Matrix",
      "teaser": "The Competitor Matrix researches a competitor from publicly available sources and condenses the findings into a one-page battle card ready for your next sales conversation.",
      "domaene": "Recherche & Wissensmanagement",
      "itemIcon": "swords"
    },
    {
      "slug": "wettbewerbs-spur",
      "category": "workflow",
      "name": "The Competitor Trail",
      "teaser": "A daily workflow that collects new competitor posts from RSS feeds and turns them into a prioritized trend report for the content team.",
      "domaene": "Recherche & Wissensmanagement",
      "itemIcon": "swords"
    },
    {
      "slug": "konkurrenzvergleichs-analyst",
      "category": "assistent",
      "name": "The Competitor Comparison Analyst",
      "teaser": "Compares 2 to 3 concrete competitors along a clearly defined comparison point and delivers a structured comparison table, strategic insights and positioning opportunities for the next 30 days.",
      "domaene": "Recherche & Wissensmanagement",
      "itemIcon": "columns-3"
    },
    {
      "slug": "sekundaerrecherche-sichter",
      "category": "assistent",
      "name": "The Secondary Research Scanner",
      "teaser": "Runs an initial secondary market analysis on market size, target audiences, competition and trends and delivers a structured overview with an optional SWOT as the starting point for strategic planning.",
      "domaene": "Recherche & Wissensmanagement",
      "itemIcon": "library-big"
    },
    {
      "slug": "rm-skills",
      "category": "tool",
      "name": "rm-skills",
      "teaser": "rm-skills is an MIT-licensed package of six standalone Claude skills for Gmail triage, infographic generation, LinkedIn asset analysis, tweet reading, video performance analysis and X account monitoring.",
      "domaene": "Recherche & Wissensmanagement"
    },
    {
      "slug": "presse-kette",
      "category": "workflow",
      "name": "The Press Chain",
      "teaser": "A daily workflow that filters industry news by relevance using AI and delivers it as a categorized briefing in the team channel, instead of someone scrolling through feeds by hand.",
      "domaene": "Recherche & Wissensmanagement",
      "itemIcon": "newspaper"
    },
    {
      "slug": "firmenprofil-sichter",
      "category": "assistent",
      "name": "The Company Profile Scanner",
      "teaser": "Scans publicly available sources on a company and distills them into a structured, source backed report.",
      "domaene": "Recherche & Wissensmanagement",
      "itemIcon": "building"
    },
    {
      "slug": "recherche-navigator",
      "category": "assistent",
      "name": "The Research Navigator",
      "teaser": "The Research Navigator breaks a research question into sub-aspects, checks sources for currency and reliability, and delivers a structured report with key findings, detailed analysis, and a clear conclusion.",
      "domaene": "Recherche & Wissensmanagement",
      "itemIcon": "telescope"
    },
    {
      "slug": "wissens-kette",
      "category": "workflow",
      "name": "The Knowledge Chain",
      "teaser": "A weekly workflow that clusters the most frequent topics from closed support tickets into reviewed FAQ drafts, so the knowledge base stays current without manual research.",
      "domaene": "Recherche & Wissensmanagement",
      "itemIcon": "book-open-text"
    },
    {
      "slug": "unternehmenswissen-lotse",
      "category": "assistent",
      "name": "The Company Knowledge Navigator",
      "teaser": "The Company Knowledge Navigator answers employee questions about policies, products and processes using your own company documents, always citing the exact source behind each answer.",
      "domaene": "Recherche & Wissensmanagement",
      "itemIcon": "library"
    },
    {
      "slug": "graphify",
      "category": "tool",
      "name": "graphify",
      "teaser": "graphify converts code, documentation, PDFs, images and video into a searchable semantic knowledge graph that reads far more token efficiently than ingesting every file individually.",
      "domaene": "Recherche & Wissensmanagement",
      "logoFile": "graphify.png",
      "logoEinzug": 0.78
    },
    {
      "slug": "notebooklm",
      "category": "tool",
      "name": "NotebookLM",
      "teaser": "NotebookLM is a source-based notebook from Google that turns documents, videos and audio into a searchable, citable knowledge space.",
      "domaene": "Recherche & Wissensmanagement",
      "logoFile": "notebooklm.svg",
      "logoEinzug": 1
    },
    {
      "slug": "perplexity",
      "category": "tool",
      "name": "Perplexity",
      "teaser": "Perplexity is an AI search engine that combines web research with generative AI and delivers answers with traceable, clickable source citations.",
      "domaene": "Recherche & Wissensmanagement",
      "logoFile": "perplexity.svg",
      "logoEinzug": 0.78
    }
  ]
}