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Lesson 11 — Keep the Models Distinct + High-Confusion Decision Rules

Ask what question the scenario is actually asking

Model Primary question Do not confuse with
Laws of Change What human truths should shape change design? an ordered method
Bridges How are people psychologically experiencing transition? project stages or adopter categories
Kotter errors Why is transformation failing? the corrective process itself
Kotter stages What process builds and anchors major change? Bridges phases
Gleicher Is D×V×F strong enough to overcome R? a numeric KPI formula
Rogers How does adoption spread / how does an individual decide? a transition-emotion model
Communication Plan How will messages be designed, delivered and measured? the change vision itself

Model-choice rule

  • psychological/loss clue → Bridges;
  • transformation failure or ordered process → Kotter;
  • D/V/F/R ingredients → Gleicher;
  • adopter groups, decision stages or innovation characteristics → Rogers;
  • message/audience/channel/timing/metrics → Communication Planning.

High-confusion clues

Scenario clue Think Not automatically
old ended; new not normal; experimentation Bridges Neutral Zone Kotter complacency
change feels arbitrary/imposed people resist being changed “people hate change”
no compelling reason to move now urgency / dissatisfaction more technology
one champion, no broad influence insufficient Guiding Coalition vision problem
many tasks, no destination vision weakness plan weakness only
vision exists, leader behavior contradicts it Walk the Talk / credibility more repetition
early visible success causes stopping declaring victory too soon failure to create wins
D and V strong, no credible next action weak F weak D
pilot works, mainstream cautious Rogers diffusion gap Neutral Zone by default
can try before committing trialability observability
benefits visible to peers observability compatibility
need messenger/channel/timing/metrics Communication Plan change vision

Cross-chapter connections

  • Chapter 16 — Organization & Roles: Ch16 designs structures/roles; Ch17 explains how people move into and sustain changed ways of working.
  • Data Governance: governance usually requires changed accountability, stewardship, coalition, vision and behavior.
  • Data Quality: quality must evolve from cleansing/scorecards or IT-only concern into organizational capability.
  • Maturity: capability maturity means changed operating behavior; improvement must survive the initial driver.
  • Security / Compliance: audit/regulation/security can create urgency but still need coalition, vision and sustainment.
  • Metadata / MDM / Architecture / BI: new tools/processes become organizational change only when responsibilities and behavior actually change.

Synthesis checks

D + V strong, no first move? → Gleicher, weak F.
Pilot visible, only Innovators/Early Adopters use it? → mainstream diffusion has not occurred.
Weekly vision emails + leaders preserve silo exceptions without explanation? → Walk the Talk + explain inconsistency failure.

Source: pp. 541–575.

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