Emotions as Data cont.
Practical emotion-to-action table
For example:
- fear to provide certainty
- frustration to improve process clarity
- excitement to amplify momentum.
The reference table below maps emotions as data (including ‘likely meaning’ and ‘change leader action’)
Emotions as Data in Change Management – Action Guide
|
Emotion (Data) |
What It Often Signals in Change |
Leader Action/Intervention |
|
1. Fear/Anxiety |
Uncertainty about future, job security, or ability to adapt |
Provide clarity (vision, timelines); offer reskilling/training; communicate job impact openly; increase leader visibility |
|
2. Frustration /Anger |
Perceived unfairness, lack of control, conflicting priorities |
Listen actively; identifying underlying concerns; adjust processes if valid; empower teams with more control or input |
|
3. Confusion |
Lack of information, unclear roles, poor communication |
Simplify messaging; use visuals, FAQs, and storytelling; provide step-by-step guidance |
|
4. Sadness/Loss |
Mourning the old ways of working, identity loss |
Acknowledge the loss; allow space for grieving; ritualise endings (farewell events, recognition of past practices) |
|
5. Excitement/ Optimism |
Seeing opportunity, alignment with values or goals |
Amplify momentum by sharing success stories; engage as change champions; celebrate early wins |
|
6. Pride |
Feeling competent, recognised, and valued |
Reinforce through recognition programs; showcase contributions; link personal achievements to bigger vision |
|
7. Skepticism |
Doubt about leadership credibility or change success |
Provide evidence (case studies, pilots, data); engage trusted peers as advocates; keep promises to build trust |
|
8. Overwhelm |
Too much change, workload pressure, lack of capacity |
Prioritise initiatives; stagger rollout; provide wellbeing support; encourage pacing and breaks |
|
9. Hope |
Belief in possibility, but still cautious |
Reinforce vision and benefits; provide pathways for involvement; keep communicating progress |
NB
- Use in meetings, surveys, or informal chats, etc to listen for emotional cues.
- Treat each emotion as data, not “resistance”.
- Apply the corresponding intervention to reduce friction and boost engagement.
(main source: Michelle Gibbings, 2025g)