Question
What goes wrong when you ignore that schema evolution in organizations?
Quick Answer
Two failures that are mirror images. The first is schema rigidity — refusing to update schemas until a crisis forces the change. This produces organizations that are perfectly adapted to the past and catastrophically maladapted to the present, which is the pattern described in the example above..
The most common reason fails: Two failures that are mirror images. The first is schema rigidity — refusing to update schemas until a crisis forces the change. This produces organizations that are perfectly adapted to the past and catastrophically maladapted to the present, which is the pattern described in the example above. The second is schema volatility — updating schemas so frequently that the organization never develops the deep competence that comes from sustained schema commitment. An organization that changes its strategy schema every quarter, its process schemas every month, and its values schemas with every new leadership hire never develops the operational depth that stable schemas provide. The discipline is to distinguish between schemas that need to evolve (because the environment has changed) and schemas that need to persist (because they represent hard-won wisdom that remains valid).
The fix: Identify one organizational schema that has been stable for more than five years. Ask: (1) What environmental conditions was this schema adapted to when it formed? (2) Have those conditions changed? (3) If the conditions have changed, has the schema been updated to reflect the new conditions? (4) If the schema has not been updated, what information is the schema filtering out that might signal the need for change? Write a one-paragraph description of what the updated schema might look like — the mental model the organization would hold if it were adapting to current conditions from scratch rather than continuing a historical schema.
The underlying principle is straightforward: Organizations must update their schemas as the environment changes — but most fail to do so until a crisis forces the update. The same mechanisms that make schemas useful (they simplify decision-making by filtering information) make them resistant to change (they filter out the very information that would reveal their obsolescence). Deliberate schema evolution requires practices that counteract this natural resistance.
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