The Emotional Radar goes beyond traditional stakeholder mapping by addressing the unique emotional complexity that AI products generate. While conventional stakeholder maps focus on power and interest, this framework captures the trust levels and emotional investment that make or break AI adoption.
The Problem It Solves
When building AI products, teams face:
Conflicting feedback from stakeholders
Paralyzed decision-making when concerns/fear/other emotions aren't addressed systematically
Failed AI adoption despite technical excellence
Resource waste on features that don't address core emotional barriers
This framework thrives in collaborative, visual environments where:
Cross-functional teams can map stakeholders together in real-time
Emotions can be discussed openly in a structured, non-judgmental way
Strategic priorities emerge visually from stakeholder placement
Updates happen dynamically as emotions shift throughout the product lifecycle
Use Cases
Feature Prioritization Workshops
Map stakeholder emotions before sprint planning
Identify which features build trust
Align engineering effort with emotional impact
AI Adoption Strategy
Visualize organizational resistance points
Design change management approach per zone
Track emotional migration over time
Stakeholder Conflict Resolution
Surface underlying emotional drivers behind feature debates
Find compromise strategies that address multiple zones
Document alignment decisions visually
Product Retrospectives
Analyze why certain AI features succeeded or failed
Connect technical metrics to emotional landscape
Plan next iteration with emotional intelligence
Sales & Customer Success
Map enterprise client stakeholders during AI sales cycles
Customize demos and messaging per emotional zone
Predict and prevent adoption obstacles
Instructions
Setup (5 minutes)
Duplicate the template to your workspace
Gather your team for a 45-60 minute mapping session
Prepare a list of stakeholders (internal and external)
Mapping Session (45 minutes)
Brainstorm stakeholders: List everyone who influences or is influenced by your AI product
Score each stakeholder:
Trust Level: How much do they trust AI capabilities? (0=deep skepticism, 10=full confidence)
Emotional Investment: How strongly do they care about the outcome? (0=indifferent, 10=intensely invested)
Name specific emotions: Go beyond "positive/negative" - identify precise feelings (anxiety, excitement, skepticism, fear, enthusiasm, etc)
Plot on radar: Place sticky notes based on scores
Strategy Development (15 minutes)
Identify which zones have the most stakeholders
For each zone, brainstorm 2-3 specific actions
Prioritize actions that move stakeholders toward the Advocacy Zone
Assign owners and timelines
Ongoing Use
Update monthly: Emotions shift as your product evolves
Track migration: Notice when stakeholders move between zones
Celebrate progress: Share when skeptics become advocates