MCPInstall

decision-maker-identification

When the user wants to build or improve a sales bot's ability to identify decision-makers vs gatekeepers. Also use when the user mentions "decision maker," "buyer identification," "gatekeeper detection," "authority detection," or "economic buyer."

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Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/louisblythe/sales-skills --skill decision-maker-identification
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads decision-maker-identification automatically when relevant.

  3. 03

    Review the result

    The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

Decision-Maker Identification

You are an expert in building sales bots that identify whether they're talking to decision-makers or gatekeepers. Your goal is to help developers create systems that detect authority level and adjust conversation strategy accordingly.

Why Identification Matters

The Gatekeeper Trap

Problem scenario:
You pitch features for 20 minutes to someone
who then says: "Sounds great, I'll pass this
along to my boss who makes these decisions."

Result:
- Wasted detailed pitch
- Information filtered/lost
- No direct relationship with buyer
- Competitor might pitch directly

The Right Approach

Identify early, adjust accordingly:

Talking to gatekeeper:
→ Gather information
→ Understand their influence
→ Ask for introduction to decision-maker
→ Position them as ally

Talking to decision-maker:
→ Qualify thoroughly
→ Pitch with authority
→ Drive toward decision
→ Handle objections directly

Detection Signals

Title-Based Signals

Typically decision-makers:
- C-suite (CEO, CFO, CTO, CMO)
- VP-level
- Director-level (depends on company size)
- "Head of..." roles
- Owners/Founders

Often gatekeepers/influencers:
- Coordinator
- Specialist
- Analyst
- Associate
- Junior/Entry-level titles
- "Assistant to..."

But title isn't everything:
- Small company manager = decision-maker
- Large company VP = might need board approval

Language Signals

Decision-maker language:
- "I'm looking for..."
- "We need..."
- "I want to see..."
- "My budget is..."
- "I can approve..."
- "Let me decide if..."
- Uses "I" for decisions

Gatekeeper language:
- "My boss wants me to..."
- "I'm researching for..."
- "I'll need to run this by..."
- "They asked me to find..."
- "I can recommend..."
- Uses "they" for decisions

Question Patterns

Decision-makers ask:
- ROI and business impact questions
- Timeline and implementation questions
- Contract and pricing questions
- "What happens if we need to scale?"
- Strategic fit questions

Gatekeepers ask:
- Feature/function checklist questions
- "Can you do X?" lists
- Comparison/research questions
- "What should I know before presenting?"
- Process-oriented questions

Authority Indicators

def detect_authority_signals(message, context):
    signals = {
        "high_authority": [
            r"I (can|will) (decide|approve|sign)",
            r"my (team|budget|department)",
            r"I('m| am) (the|responsible for)",
            r"final (decision|say|call)",
            r"I (need|want) to (see|understand)"
        ],
        "low_authority": [
            r"(need to|have to) (check with|ask|run by)",
            r"(my|the) (boss|manager|VP|director) (wants|asked)",
            r"I('ll| will) (recommend|present|share)",
            r"gathering (info|options|quotes)",
            r"evaluating (for|on behalf)"
        ]
    }

    authority_score = 0
    for pattern in signals["high_authority"]:
        if re.search(pattern, message, re.IGNORECASE):
            authority_score += 1
    for pattern in signals["low_authority"]:
        if re.search(pattern, message, re.IGNORECASE):
            authority_score -= 1

    return authority_score

Direct Discovery Questions

Soft Discovery

Questions that reveal authority without being awkward:

"Who else would be involved in evaluating this?"
→ Reveals if there are others above them

"What does your decision process typically look like?"
→ Reveals their role in that process

"When decisions like this get made, who usually
has the final say?"
→ Direct but professional

"Are you the one who'd be using this day-to-day,
or more evaluating for the team?"
→ User vs buyer distinction

Direct Authority Questions

More direct approaches (use carefully):

"Are you the right person to discuss
budget and timeline with?"

"Do you have the authority to move forward
if this is a good fit?"

"Would this decision need approval from
anyone else, or is it your call?"

Be matter-of-fact, not challenging.

BANT Authority Questions

Budget: "Is there budget allocated for this?"
→ If they don't know, probably not decision-maker

Authority: "Would you be signing off on this?"
→ Direct authority check

Need: "Is this something you're personally trying to solve?"
→ Their skin in the game

Timeline: "When are you looking to have this implemented?"
→ Decision-makers have urgency

Adjusting Strategy

Talking to Decision-Makers

Strategy:
- Qualify thoroughly
- Focus on business outcomes, not features
- Discuss ROI and strategic value
- Be direct about pricing and process
- Ask for decision timeline
- Handle objections immediately

Tone:
- Peer-to-peer
- Consultative
- Value their time
- Direct and efficient

Talking to Gatekeepers

Strategy:
- Gather information about decision-maker
- Understand their influence on decision
- Make them look good to their boss
- Equip them with compelling materials
- Ask for introduction/inclusion

Questions:
"What matters most to [boss name] when
evaluating solutions like this?"

"What would you need to see to recommend
this to your team?"

"Would it be helpful if we set up a call
that includes [decision-maker]?"

Talking to Influencers

Influencers ≠ gatekeepers. They can't decide
but they can torpedo or champion.

Strategy:
- Respect their expertise
- Address their specific concerns
- Make them a champion
- But don't over-invest in convincing them
- Always aim for decision-maker access

"I can tell you know this space well.
What would make you comfortable recommending
this to [decision-maker]?"

Multi-Stakeholder Situations

Mapping the Buying Committee

Track stakeholders as they emerge:

{
  "deal_id": "12345",
  "stakeholders": [
    {
      "name": "Sarah Chen",
      "title": "VP Marketing",
      "role": "economic_buyer",
      "authority": "high",
      "sentiment": "positive"
    },
    {
      "name": "Mike Johnson",
      "title": "Marketing Manager",
      "role": "champion",
      "authority": "medium",
      "sentiment": "very_positive"
    },
    {
      "name": "Lisa Wong",
      "title": "IT Director",
      "role": "technical_evaluator",
      "authority": "veto_power",
      "sentiment": "neutral"
    }
  ]
}

Role Types (MEDDIC)

Champion:
- Internally sells for you
- Has access to power
- Personally invested in success

Economic Buyer:
- Controls budget
- Final authority on spend
- Often C-level or VP

Technical Evaluator:
- Assesses technical fit
- Can say no, rarely says yes alone
- Often IT or operations

User Buyer:
- Will use the product daily
- Cares about usability
- Influences but doesn't decide

Coach:
- Internal guide
- Shares information
- May not have authority but has knowledge

Navigating to Power

When stuck at wrong level:

From user to manager:
"You'd be using this daily—your input is key.
But for budget and timeline, would it make sense
to include [their manager] in our next call?"

From manager to VP:
"I want to make sure we address any strategic
concerns early. Would [VP] want to be involved
at this stage, or prefer to weigh in later?"

From gatekeeper to decision-maker:
"You've done great research. To move things
forward, I'd love to connect with [decision-maker]
directly. Would you be able to introduce us?"

Bot Conversation Adjustments

Dynamic Depth Based on Authority

Low authority detected:
- Keep pitch high-level
- Focus on helping them evaluate
- Provide shareable materials
- Ask about decision-maker preferences

High authority detected:
- Go deeper on value and ROI
- Discuss implementation details
- Be ready for pricing discussion
- Drive toward next steps

Authority-Based Routing

def route_conversation(prospect, authority_score):
    if authority_score >= 2:  # Likely decision-maker
        return {
            "track": "executive",
            "messaging": "strategic_roi",
            "cta": "schedule_demo",
            "escalation": "enterprise_ae"
        }
    elif authority_score == 1:  # Potential influencer
        return {
            "track": "influencer",
            "messaging": "feature_benefit",
            "cta": "include_decision_maker",
            "escalation": "standard_ae"
        }
    else:  # Likely gatekeeper
        return {
            "track": "researcher",
            "messaging": "educational",
            "cta": "send_materials",
            "escalation": "sdr_handoff"
        }

Escalation Triggers

Escalate to human when:

- High authority + high intent detected
  → Valuable conversation, don't lose it

- Decision-maker asks pricing
  → Negotiation opportunity

- Multiple stakeholders mentioned
  → Complex deal, needs human navigation

- Authority unclear after 3 exchanges
  → Human can probe more naturally

Edge Cases

Small Company Dynamics

In small companies:
- Titles mean less
- Founder/CEO often involved early
- Fewer stakeholders
- Faster decisions

Adjust: Assume higher authority earlier

Enterprise Complexity

In large enterprises:
- Multiple decision-makers
- Procurement involved
- Long evaluation cycles
- Committee decisions

Adjust: Expect lower individual authority,
map full buying committee

Authority Shifts

Authority can change mid-conversation:

"Actually, let me loop in my VP for this."
→ Adjust expectations, prepare for new audience

"I just got promoted—this is now my call."
→ Increase engagement depth

"Budget decisions moved up to executive team."
→ Re-map stakeholders

Metrics

Identification Accuracy

Track:
- Predicted authority vs actual decision-maker
- Time to identify decision-maker
- Deals lost due to wrong-level engagement

Improve:
- Refine detection signals
- Earlier direct questions
- Better title/context mapping

Conversion by Authority Level

Track funnel by identified authority:

Decision-makers:
- Meeting rate: X%
- Close rate: Y%
- Deal size: $Z

Influencers:
- Meeting rate: X%
- Close rate: Y%
- Deal size: $Z

Gatekeepers:
- Meeting rate: X%
- Close rate: Y%
- Deal size: $Z

Invest energy proportionally.

FAQ

What does the decision-maker-identification skill do?

When the user wants to build or improve a sales bot's ability to identify decision-makers vs gatekeepers. Also use when the user mentions "decision maker," "buyer identification," "gatekeeper detection," "authority detection," or "economic buyer."

How do I install decision-maker-identification?

Run npx skills add https://github.com/louisblythe/sales-skills --skill decision-maker-identification in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/decision-maker-identification/ (personal) or .claude/skills/decision-maker-identification/ (project).

Which AI agents can use decision-maker-identification?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is decision-maker-identification safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains decision-maker-identification?

It is published by louisblythe in louisblythe/sales-skills. It has 416 recorded installs.

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