Tag: Adkar
15 articles
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Less Queue, More Craft: Two Years of Lessons
Reflections on the 'Less Queue, More Craft' thesis: what held up, what shifted, and what we'd do differently.
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ADKAR Meets Agentic: A Framework for Change in the AI Era
Pulling it together: how ADKAR and agentic patterns combine into a cohesive change framework for AI adoption.
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What Only Humans Can Do: A First-Principles View
Strategy, judgment, coherence, and learning in an agent-heavy world—and why those remain irreducibly human.
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Rethinking ADKAR for Non-Linear Change
ADKAR assumes sequenced change; AI adoption is iterative and continuous. How to adapt the model for experimentation-driven transformation.
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The IC and PM in the New Loop: Reinforcing Roles That Actually Add Value
How to reinforce human roles when agents can generate most of the work—and why those roles still matter.
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Embedded AI, Sustained Habits: Designing Workflows That Stick
Making AI usage durable through defaults, constraints, and feedback loops that reinforce the right behaviors.
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Reinforcement for AI Adoption: Why Most Rollouts Plateau at 30%
ADKAR's Reinforcement phase: why adoption stalls after the early adopters, and what sustains usage over time.
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Ability in Practice: Skill Sets for the Agent-Augmented Team
What ICs and PMs need to be good at now: judgment, prompt design, testing agent output, and integration.
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Knowledge in ADKAR for AI: What People Actually Need to Learn (and What They Don't)
When agents handle execution, training should focus on prompts, evaluation, orchestration, and failure modes—not syntax and boilerplate.
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The Product-Tech Tension in an Agent-First World
Desire at the org level: how product and engineering can align on goals when agents change what each function values and delivers.