meddpicc-post-call

name

meddpicc-post-call

description

Auto-fill CRM and create follow-up tasks after a sales call using MEDDPICC methodology. Pulls meeting transcripts from Granola, scores the call against all 8 MEDDPICC dimensions, extracts competitor mentions, budget discussions, decision criteria, champion signals, and next steps — then writes everything to Attio (deal updates, notes, tasks). MANDATORY TRIGGERS: Use this skill whenever the user mentions "post-call", "after the call", "MEDDPICC", "score the call", "call review", "update CRM after call", "auto-fill CRM", "call analysis", "sales call review", "what did we miss on the call", "debrief the call", "log the call", or references analyzing a completed sales meeting. Also trigger when the user asks to extract competitor mentions, budget info, or decision criteria from a call transcript.

MEDDPICC Post-Call CRM Automation

Analyze a sales call transcript against the MEDDPICC framework, score each dimension, auto-fill the CRM (Attio), and create follow-up tasks — so the rep never has to manually log call notes again.

MEDDPICC Framework Reference

Each dimension is scored 0–4:

Score	Meaning
0	Not addressed at all
1	Barely addressed — vague or passing mention
2	Somewhat addressed — surface-level discussion
3	Well addressed — clear specifics uncovered
4	Thoroughly addressed — deep, actionable intel captured

The 8 Dimensions

Letter	Dimension	What to extract
M	Metrics	Quantifiable outcomes the prospect wants to improve (revenue, time saved, cost reduction, headcount efficiency). Look for specific numbers, KPIs, or targets.
E	Economic Buyer	The person with final budget authority. Look for mentions of who approves spend, signs contracts, or has veto power. May differ from the person on the call.
D	Decision Criteria	Factors that will drive the purchase decision — technical requirements, integration needs, ROI thresholds, compliance, ease of use.
D	Decision Process	The formal steps the prospect follows to evaluate and approve a purchase — timeline, stakeholders involved, evaluation stages, legal/procurement review.
P	Paper Process	Internal paperwork and approval workflows — procurement rules, legal review, security questionnaires, vendor onboarding, contract redlining.
I	Identify Pain	The core problems or challenges the prospect faces. Look for emotional language, frustration signals, business impact of the status quo.
C	Champion	An internal advocate for your solution. Someone who has influence, access to the economic buyer, and a personal win tied to your success.
C	Competition	Competitors mentioned, alternative solutions being evaluated, or build-vs-buy considerations. Also "do nothing" as a competitor.

Overall Score Calculation

Overall MEDDPICC Score = (sum of 8 dimension scores / 32) × 100, rounded to nearest integer.

Workflow

Step 0: Gather Inputs

Ask the user for:

1. Which call? — Company name, contact name, or meeting date. If the user provides a Granola meeting link or ID, use it directly.
2. Sales stage — What stage is this deal at? (Discovery, Demo, POC, Negotiation, etc.) This provides context for how to weight the MEDDPICC gaps — early-stage calls naturally score lower on Paper Process, for instance.
3. Any context the user wants to add — Things they noticed but may not be in the transcript (e.g., "the CTO seemed skeptical but didn't say it outright").

If the user already provided some of this context in their message, don't re-ask. Extract what you can and only ask about what's missing.

Step 1: Gather Deal Context (Multi-Source)

Attempt data sources in priority order. Each source that returns data adds to the picture — do NOT stop after the first hit. Merge everything before scoring.

1a. Granola (primary — meeting transcripts)

1. If a meeting ID or link is provided: call get_meeting_transcript with the meeting ID.
   • If transcript access fails (paid tier required), fall back to query_granola_meetings with specific questions about the meeting.
2. If a company/contact name is provided: call query_granola_meetings with "meeting with {name}" to find the most recent match.
3. If no match: call list_meetings and scan for likely candidates by date or attendee.

Once you have the meeting ID, gather full context by calling query_granola_meetings with targeted queries:

• "What metrics or KPIs were discussed in meeting {id}?"
• "Who is the decision maker or budget owner mentioned in meeting {id}?"
• "What competitors or alternatives were mentioned in meeting {id}?"
• "What are the next steps from meeting {id}?"
• "What pain points or challenges did the prospect describe in meeting {id}?"
• "What is the budget or pricing discussed in meeting {id}?"
• "What is the decision process or timeline discussed in meeting {id}?"

If get_meeting_transcript succeeds, read the full transcript yourself — it's more reliable than querying for fragments.

Important: list_meetings only returns the last 30 days. For older deals, Granola may return nothing even though meetings happened months ago. Note this limitation when reporting gaps.

1b. Attio Notes & Comments (fallback #1)

If Granola returns no meetings, or to supplement Granola data:

1. Call semantic-search-notes with "{company name} deal pain points metrics decision criteria" to find relevant notes.
2. For each note found, call get-note-body to read the full content.
3. Call list-comments with parent_object: "deals" and parent_record_id: {deal_id} to check for inline deal comments.

1c. Gmail Threads (fallback #2)

If both Granola and Attio notes are empty:

1. Call gmail_search_messages with the company name or contact email to find relevant threads.
2. Call gmail_read_thread on the most relevant threads (limit to 3-5 most recent).
3. Extract any MEDDPICC-relevant signals: pricing discussions, objections, next steps, competitor mentions.

1d. Insufficient Data Protocol

If ALL sources return empty, do NOT skip the deal. Instead:

• Set all dimension scores to 0.
• Write field values as: "0/4 — No data available from Granola, Attio notes, or Gmail. Requires qualification call."
• Flag the deal prominently in the results summary as NEEDS RE-QUALIFICATION.
• Suggest 3 specific discovery questions to ask on the next call, one each for Pain, Metrics, and Decision Criteria.

Step 2: Find the Company and Deal in Attio

In parallel:

1. Call search-records with object = "companies" and the company name as query.
2. Call search-records with object = "deals" and the company/deal name as query.

If the deal doesn't exist yet:

• Use upsert-record to ensure the company exists (match on domains).
• Use create-record to create the deal linked to the company.
• Set the deal owner to the current user (from whoami).

Note the record_id for the deal — you'll need it for notes and tasks.

Also call list-attribute-definitions with object = "deals" and query = "meddpicc" to check whether MEDDPICC custom fields have been created. If they exist, you'll populate them in Step 4.

Step 3: Analyze the Transcript — MEDDPICC Scoring

Read through the entire transcript (or Granola query results) and evaluate each dimension.

For each of the 8 MEDDPICC components, produce:

1. Score (0–4)
2. Evidence — Direct quotes or specific references from the transcript that justify the score.
3. What was uncovered — A 1-2 sentence summary of what the rep learned about this dimension.
4. Gap / recommendation — What's still missing and what the rep should do next to fill the gap.

Automatic Extraction Targets

Beyond scoring, actively extract and structure these specific data points:

Competitor mentions:

• Named competitors (companies, products)
• Alternative approaches ("we're also looking at building in-house")
• Incumbent solutions ("we currently use X")
• "Do nothing" signals ("we might just keep doing it manually")

Budget discussions:

• Specific dollar amounts or ranges mentioned
• Budget cycle timing ("our fiscal year starts in January")
• Budget ownership ("marketing owns this budget" vs "IT")
• Pricing reactions (positive, negative, sticker shock)
• Comparison anchors ("we pay $X for our current tool")

Decision criteria:

• Must-have vs nice-to-have requirements
• Technical requirements (integrations, security, compliance)
• Business requirements (ROI, payback period)
• Political requirements (stakeholder alignment, board approval)

Champion signals:

• Who on the call showed enthusiasm or advocacy?
• Who volunteered to do internal selling?
• Who offered to make introductions to other stakeholders?
• Who shared internal context that wasn't asked for?

Next steps mentioned:

• Explicit commitments ("I'll send you the API docs")
• Implicit next steps ("we should probably loop in our CTO")
• Timeline markers ("we need to decide by Q3")
• Follow-up meeting requests

Step 4: Update Attio (Cumulative Merge)

MEDDPICC is a living qualification — each call adds to the picture. Never blindly overwrite existing scores. Always read existing data first and merge upward.

4-pre. Read Existing MEDDPICC Data

Before writing anything, call get-records-by-ids with the deal record ID and read the current values of: meddpicc_score, meddpicc_metrics, meddpicc_decision_criteria, meddpicc_competition, meddpicc_budget_total.

4a. Merge Rules

For each MEDDPICC dimension:

1. Score goes UP, never down — if the existing score is 3 and the new call only reveals a 2, keep 3. A previous call already uncovered deeper intel. Only increase if the new call adds genuinely new evidence.
2. Text fields APPEND, don't replace — prepend the new call's findings with a date header, then keep the prior content below. Format:

   [2026-04-06] 3/4 — New finding from this call.
   [2026-03-27] 2/4 — Previous finding from earlier call.
   

3. Budget updates — only overwrite if the new amount is explicitly discussed and differs. A missing budget mention on a follow-up call does NOT zero out a previously captured number.
4. Overall score — recalculate from the merged (highest-per-dimension) scores, not from the latest call alone.

4b. Update the Deal Record

Update these existing deal fields based on the merged analysis:

Field	When to update
value	If a specific deal value, budget, or pricing was discussed and differs from current
deal_confidence	Recalculate 1-5 based on MEDDPICC score: Score 0-20→1, 21-40→2, 41-60→3, 61-80→4, 81-100→5
stage	Only if the call clearly signals a stage change (e.g., they agreed to a POC) — confirm with user before changing

If MEDDPICC custom fields exist on the deals object (check Step 2), also update:

• meddpicc_score — overall score (0-100), calculated from merged dimension scores
• meddpicc_metrics — cumulative score + summary (date-stamped entries)
• meddpicc_decision_criteria — cumulative key criteria extracted
• meddpicc_competition — cumulative competitors and positioning
• meddpicc_budget_total — latest confirmed budget amount

4b. Create a MEDDPICC Analysis Note

Use create-note on the deal record with this structure:

# MEDDPICC Call Analysis — {Company Name}
**Date:** {call date}
**Attendees:** {names from transcript}
**Sales Stage:** {current stage}
**Overall MEDDPICC Score:** {score}/100

---

## Scorecard

| Dimension | Score | Summary |
|-----------|-------|---------|
| M — Metrics | {0-4} | {one-line summary} |
| E — Economic Buyer | {0-4} | {one-line summary} |
| D — Decision Criteria | {0-4} | {one-line summary} |
| D — Decision Process | {0-4} | {one-line summary} |
| P — Paper Process | {0-4} | {one-line summary} |
| I — Identified Pain | {0-4} | {one-line summary} |
| C — Champion | {0-4} | {one-line summary} |
| C — Competition | {0-4} | {one-line summary} |

---

## Key Findings

### Competitor Intelligence
{Structured competitor mentions with context}

### Budget & Pricing
{Budget discussions, reactions, anchoring points}

### Decision Criteria & Process
{What drives the decision, who's involved, timeline}

### Pain Points
{Core challenges with evidence/quotes}

### Champion Assessment
{Who is the champion, strength of advocacy, risks}

---

## Critical Gaps
{Top 2-3 MEDDPICC dimensions that scored lowest, with specific recommendations for what to ask or do next}

---

## Next Steps
{Numbered list of action items with owners and deadlines where discussed}

4c. Create Follow-Up Tasks

For each concrete next step identified, create an Attio task using create-task:

• Content: Clear, actionable description (e.g., "Send API documentation to {contact} at {company}")
• Deadline: If a date was mentioned, use it. If "next week" or similar, calculate the date. If no date, set deadline 3 business days from now.
• Linked record: Link to the deal record (linked_record_object: "deals", linked_record_id: {deal_id})
• Assignee: Current user's workspace_member_id (from whoami)

Always create at least these tasks:

1. One task per explicit commitment made on the call
2. A "Fill MEDDPICC gaps" task for any dimension scored 0-1, describing what to ask/do
3. A "Send follow-up email" task if no follow-up was discussed

4d. Update the Sales List Entry (if applicable)

If the company has an entry in the "Sales" list (api_slug: sales), update it:

• notes — Append a one-line summary: "MEDDPICC {date}: Score {X}/100. Key gaps: {gaps}. Next: {action}."
• stage — Only if confirmed by user
• estimated_contract_value — If budget/pricing was discussed
• close_confidence — Based on MEDDPICC score (same mapping as deal_confidence)

Step 5: Present Results to User

Show the user a concise summary:

1. MEDDPICC Scorecard — The 8 dimensions with scores, color-coded (use text indicators: scores 0-1 are gaps, 2 are partial, 3-4 are solid)
2. Overall Score with context ("65/100 — typical for a Discovery call, but you're missing Economic Buyer entirely")
3. Top 3 gaps with specific coaching tips (what to ask on the next call)
4. What was updated in Attio — List the deal fields changed, note created, tasks created
5. Competitor landscape — Quick summary of competitive positioning
6. Recommended next actions — Prioritized by impact on closing

Ask if they want to:

• Edit any of the scores or extracted data before finalizing
• Create additional tasks
• Draft a follow-up email (defer to meeting-followup skill)
• Schedule a next meeting based on the gaps identified

Attio Field Setup Guide

For the skill to populate MEDDPICC-specific fields, create these custom attributes on the Deals object in Attio (Settings → Objects → Deals → Add attribute):

Attribute Name	API Slug (suggested)	Type	Description
MEDDPICC Score	meddpicc_score	Number	Overall MEDDPICC qualification score (0-100). Calculated from 8 dimensions scored 0-4 each. Below 40 = early/weak qualification, 40-60 = developing, 60-80 = strong, 80+ = fully qualified.
Metrics	meddpicc_metrics	Text	Quantifiable business outcomes the prospect wants to improve — revenue targets, time savings, cost reduction, headcount efficiency. Include specific numbers and KPIs when available.
Decision Criteria	meddpicc_decision_criteria	Text	Factors driving the purchase decision — technical requirements (integrations, security, compliance), business requirements (ROI threshold, payback period), and political requirements (stakeholder alignment).
Competition	meddpicc_competition	Text	Competitors being evaluated, incumbent solutions, build-vs-buy considerations, and "do nothing" risk. Include how we differentiate against each.
Budget Total	meddpicc_budget_total	Currency (USD)	Total budget amount discussed or estimated for the deal. The prospect's stated budget ceiling, approved spend, or pricing anchor.

The skill works without these fields — it always creates a detailed note and tasks. With the fields, it also populates structured data for filtering, reporting, and pipeline views.

Optional Fields (require Attio paid plan for record-reference type)

If your Attio plan supports record-reference custom attributes, you can also add:

Attribute Name	API Slug (suggested)	Type	Description
Champion	meddpicc_champion	Record Reference → People (or Text on free plans)	Internal advocate for our solution — name, role, advocacy strength, and their personal win tied to our success.
Economic Buyer	meddpicc_economic_buyer	Record Reference → People (or Text on free plans)	Person with final budget authority and veto power — name, title, and whether we have direct access or need to go through someone.

These are nice-to-haves. Champion and Economic Buyer info is always captured in the MEDDPICC note regardless.

Attio MCP Tool Reference

Task	Tool	Key parameters
Find company	search-records	object: "companies", query
Find deal	search-records	object: "deals", query
Check MEDDPICC fields exist	list-attribute-definitions	object: "deals", query: "meddpicc"
Update deal	update-record	object: "deals", record_id, attributes
Create note on deal	create-note	parent_object: "deals", parent_record_id, title, content
Create follow-up task	create-task	content, deadline_at, linked_record_object, linked_record_id
Update Sales list entry	update-list-entry-by-record-id	list: "sales", parent_object: "companies", attributes
Get user identity	whoami	—
List deal attributes	list-attribute-definitions	object: "deals"
Get full deal record	get-records-by-ids	object: "deals", record_ids: [uuid]

Granola MCP Tool Reference

Task	Tool
Get full transcript	get_meeting_transcript (meeting_id)
Query meeting content	query_granola_meetings (query, optional document_ids)
List recent meetings	list_meetings
Get meeting metadata	get_meetings

Environment

Variable	Source	Purpose
Attio	MCP (Attio connector)	CRM — deals, companies, notes, tasks
Granola	MCP (Granola connector)	Meeting transcripts and summaries
Gmail	MCP (Gmail connector)	Email context if needed for follow-up
Google Calendar	MCP (Google Calendar connector)	Meeting scheduling context

Stage-Weighted Expectations

Not every dimension needs to score high at every stage. Use this as a coaching guide:

Stage	Expected strong (3-4)	Acceptable weak (0-2)
Discovery	Identified Pain, Metrics	Paper Process, Competition
Demo	Pain, Metrics, Decision Criteria	Paper Process
POC/Trial	Pain, Metrics, Criteria, Champion	Paper Process
Negotiation	ALL should be 2+	None — gaps here are red flags
Contract	ALL should be 3+	None — missing info blocks close

Flag any dimension that's weaker than expected for the stage as a priority gap.