Features MEDDIC / SPIN / NEAT
Deal Qualification · Pro

Qualify deals
with a framework, not intuition.

Lumi automatically fills in MEDDIC, SPIN, or NEAT based on conversations. Each dimension receives a score of 0-100 with a description, and everything syncs to your CRM. Plus: a stakeholder map with influence scores, so you know who really makes the decisions.

3 frameworks to choose from

MEDDIC, SPIN, NEAT.
Auto-filled from conversations.

You choose the methodology, AI completes each dimension based on what was said in the conversation — with quotes. MEDDIC has 6 components: Metrics, Economic Buyer, Decision Criteria, Decision Process, Identify Pain, Champion. Missing fields are highlighted so you know what to ask about.

  • Overall score 0–100 + score for each component
  • Sync to CRM — scoring goes into deal fields
  • Switch framework at any time
MEDDIC SPIN NEAT
MEDDIC Score
78
Overall Qualification Score
Metrics85
Budget 70–80k confirmed, ROI calculated for 4 months.
Economic Buyer80
CFO Jan Wiśniewski — decision-maker, present at the call.
Decision Criteria65
EU residency + GDPR crucial; price secondary.
Decision Process60
6-week security review by procurement — a risk.
Identify Pain90
8h/week lost on CRM; reps lose track of follow-ups.
Champion35
No clear internal champion — ask again.
Stakeholder Mapping · Pro

You know who really
decides.

Lumi builds a decision-making map from conversations: who is the champion, who is the economic buyer, who is a blocker, and who is just a user. Each contact receives an influence score — you see where to direct your energy.

  • Decision-making roles — champion, EB, blocker, user
  • Influence score per contact (0–100)
  • Basic: up to 5 stakeholders / deal · Pro: unlimited
Decision map · ACME
JW
Jan Wiśniewski
CFO · economic buyer
Econ. Buyer
infl.92
MK
Marta Kowalska
Head of Sales · our contact
Champion
infl.78
PM
Paweł Mazurek
Procurement · security review
Blocker
infl.64
AT
Anna Tkacz
Sales Rep · end-user
User
infl.31

A forecast your CFO will trust.

Scoring based on conversations, not on 'I feel it's 70%'.