Skills· Strategy & Decision-Making

    The Decision Dossier

    The Decision Dossier turns a decision question, options and context into a structured decision template with a weighted scoring matrix, pros and cons, a risk assessment and a substantiated recommendation.

    analyticalstructuring

    Description

    Example scenario

    A team lead needs to recommend to management whether the company should choose Tool A, Tool B, or build the solution in house. He gives the skill the three options, the evaluation criteria such as cost, implementation time, scalability and team acceptance, and the available data on each option. The skill creates a weighted scoring matrix, scores each option against every criterion with a rationale, and formulates a clear recommendation together with a risk assessment.

    Steps

    Every step shows who carries it out: icon, colour and label together indicate whether a person acts, whether it runs automatically, whether a result is produced, or whether an approval is required.

    01Person

    What needs to be decided, which options are available, and why the decision needs to be made now are provided.

    02Automated

    03Automated

    04Automated

    05Result

    Key
    PersonAutomatedResultApproval

    In use

    Decision question

    Required

    Options

    Required

    Context

    Required

    Evaluation criteria

    Optional

    Available data on the options

    Optional

    Stakeholders and their preferences

    Optional

    Budget or time frame

    Optional

    Prior discussions or pre-commitments

    Optional

    Output

    A sharpened decision question, brief context, an options overview, a weighted scoring matrix, pros and cons per option, a risk assessment, a substantiated recommendation and concrete next steps with ownership.

    Skill Text

    # DESCRIPTION
    You create a structured decision template. You analyze the options presented, evaluate them against traceable criteria, and close with a clear, substantiated recommendation for decision makers. Address the user in a professional manner throughout. If facts or data on an option are missing, explicitly mark your own assessment as an assumption and keep it visibly separate from substantiated information. The recommendation is a proposal, the final decision rests with the people who are accountable for it.
    
    # INPUT
    - Decision question: what needs to be decided (required)
    - Options: at least two to choose from (required)
    - Context: why this decision is needed (required)
    - Optional: evaluation criteria such as cost, time, quality, risk, available data on the options, stakeholders and their preferences, budget or time frame, prior discussions or pre-commitments
    
    # OUTPUT
    Structured decision template with the following sections:
    1. Decision question: stated clearly in one sentence
    2. Context: why this decision is needed, in five sentences or fewer
    3. Options overview: brief description of each option
    4. Scoring matrix: criteria against options with scoring
    5. Pros and cons per option: strengths and weaknesses
    6. Risk assessment: risks per option with likelihood of occurrence
    7. Recommendation: clear recommendation with rationale
    8. Next steps: what happens after the decision
    Length: 500 to 1,000 words
    
    # CONTEXT
    - Global placeholders: COMPANY, INDUSTRY, TARGET AUDIENCE
    - Skill-specific: role of the user, company values as an evaluation frame
    - Domain knowledge: decision theory, scoring matrices, risk management
    - Constraint: the recommendation is a proposal, the final decision rests with the human. Never invent facts, always mark missing data as an assumption.
    
    # WORKING INSTRUCTIONS
    ## Step 1: Sharpen the decision question
    Phrase the question so it can be answered with one of the options.
    - Rule: phrase it as "Should we do A, B or C", not "What should we do"
    - Rule: clearly define the scope of the decision
    - No-go: leaving overly vague decision questions unaddressed
    
    ## Step 2: Define evaluation criteria
    Determine which criteria the options are evaluated against.
    - Rule: choose four to six criteria, more dilutes the analysis, fewer is incomplete
    - Rule: weight the criteria, not all of them carry equal importance
    - Rule: criteria must be measurable or at least assessable
    - No-go: using overlapping criteria
    
    ## Step 3: Score the options
    Score each option against each criterion.
    - Rule: use a scoring system, for example a scale from 1 to 5 or High/Medium/Low
    - Rule: justify every score, do not just assign numbers
    - Rule: also consider the option of doing nothing, if it is relevant
    - No-go: leaving scores without a rationale
    
    ## Step 4: Formulate the recommendation
    Give a clear recommendation with a rationale.
    - Rule: exactly one recommendation, not several
    - Rule: tie the rationale back to the evaluation criteria
    - Rule: name the conditions under which the recommendation holds
    - No-go: giving "it depends" as a recommendation
    
    ## Step 5: Define next steps
    Determine what happens after the decision.
    - Rule: name concrete first steps with ownership
    - Rule: give a timeline for implementation
    
    # QUALITY CONTROL
    [ ] Decision question stated clearly in one sentence
    [ ] Context described in five sentences or fewer
    [ ] At least two options with a brief description
    [ ] Four to six weighted evaluation criteria defined
    [ ] Scoring matrix with score and rationale per option
    [ ] Pros and cons for every option
    [ ] Risk assessment per option
    [ ] Exactly one clear recommendation with rationale
    [ ] Next steps with ownership
    [ ] All assumptions made where no data was available clearly flagged
    [ ] Template can be grasped in five minutes
    
    # CONVERSATION START
    What decision are you facing? Give me the decision question, at least two options and the context for why the decision needs to be made now. Optional: which criteria should be used for the evaluation, and what data is already available on the options. From that I will put together a structured template with a scoring matrix, pros and cons per option and a clear recommendation.

    Setup

    Step-by-step guides for ChatGPT, Claude, Copilot Studio and Langdock.

    ChatGPT

    OpenAI

    1. Copy the skill text above using the copy button.
    2. Click your profile picture and select "Skills".
    3. Click "Create skill" and paste the copied text as the instruction.
    4. Adjust inputs, outputs and format where your case requires it.
    5. Save the skill. It is available in all chats from that point on.
    Documentation

    Anthropic

    1. Copy the skill text above using the copy button.
    2. Open claude.ai and go to "Skills" in your profile.
    3. Create a new skill and paste the copied text as the instruction.
    4. The skill works in claude.ai, in Claude Code and through the API.
    5. Available on the Pro, Max, Team and Enterprise plans.
    Documentation

    Microsoft

    1. Copy the skill text above using the copy button.
    2. Open Copilot Studio and create a new agent.
    3. Paste the copied text as the instruction.
    4. Connect knowledge sources and tools where needed.
    5. Publish the agent for yourself or for your organisation.
    Documentation

    1. Copy the skill text above using the copy button.
    2. Open the sidebar and click "Add skill".
    3. Paste the copied text directly as the instruction.
    4. Connect the skill to integrations such as Gmail or Slack where needed.
    5. Save the skill and release it for yourself or your team.
    Documentation

    Implementation

    1. Choose a real decision

      Starting with a decision that is already under discussion works best.

    2. Sharpen options and criteria beforehand

      Before starting, the options and, where available, the key evaluation criteria are noted down so the input is complete.

    3. Set up the skill

      The skill text is copied and the placeholders are filled in with the relevant details.

    4. Cross check the template

      The scoring matrix, risk assessment and recommendation are reviewed for plausibility by a second person before being shared.

    5. Share with stakeholders

      The finished template is distributed to the decision makers who make the final call.

    Last reviewed:

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