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Adoption strategy: ADKAR + Prosci framing
In this lesson
Adoption strategy: ADKAR + Prosci framing
Classify each stage of the ADKAR model (Awareness, Desire, Knowledge, Ability, Reinforcement) against real-world AI adoption scenarios, identifying which competency gaps block progress and which interventions address…
You'll be able to
- Classify each stage of the ADKAR model (Awareness, Desire, Knowledge, Ability, Reinforcement) against real-world AI adoption scenarios, identifying which competency gaps block progress and which interventions address them.
- Evaluate an AI initiative's change-management plan by mapping stakeholder readiness to UNESCO sustainability competency dimensions—including self-awareness, collaboration, and systems thinking[^1][^2]—and diagnosing whether the plan addresses both cognitive learning outcomes (knowledge, attitude) and the harder-to-achieve behavioral transformation[^1].
- Apply Prosci's structured change methodology to design a phased adoption roadmap for a generative-AI deployment, specifying how each ADKAR element will be measured, reinforced through learning activities[^5], and sustained beyond initial rollout.
- Create targeted learning interventions for each ADKAR stage that incorporate participatory teaching methods—such as problem-based or experiential learning[^1]—and leverage self-efficacy mechanisms[^6] to move stakeholders from awareness and knowledge to demonstrated ability and lasting behavior change.