Measuring AI Adoption Impact and Value CAIPM Practice Questions (Page 1)

Questions 1–5

1. 1foundation · easy

   Which of the following is an example of a productivity metric used to measure AI adoption impact?

   • ATime saved per process
   • BData quality score
   • CTotal cost of ownership
   • DNumber of AI models deployed
   Reveal Solution Discussion Select an answer first
2. 2foundation · easy

   Which process is essential for tracking AI adoption impact over time?

   • AEstablishing a baseline before deployment
   • BUpdating the AI model's hyperparameters
   • CReviewing the AI model's training data
   • DConducting a one-time survey after deployment
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4. 3expert · hard

   A technology company's AI code-review assistant was adopted enthusiastically by 70% of developers in the first month, but usage has dropped to 40% over six months. Developer feedback indicates the tool generates too many false-positive warnings, and some teams have stopped using it. The program manager must reverse the decline and sustain adoption. Which approach best addresses the root cause and supports long-term adoption?

   • ACollect specific examples of false positives, retrain the model with developer feedback, and establish a monthly review cycle to continuously tune the tool
   • BMake the tool mandatory for all code reviews, since mandatory usage will ensure adoption regardless of developer preferences
   • CReduce the tool's sensitivity to eliminate false positives, even if it means missing some real issues
   • DLaunch a communication campaign reminding developers of the tool's benefits and the initial productivity gains
   Reveal Solution Discussion Select an answer first
5. 4application · medium

   A healthcare organization deployed an AI system that triages patient messages. The program manager must present the value to the clinical operations director, who is concerned about staff workload. Which reporting approach best communicates the AI's impact to this stakeholder?

   • AReport the accuracy of the AI model on a test dataset.
   • BHighlight the number of AI model retraining cycles completed.
   • CPresent the total cost savings from reduced staffing needs.
   • DShow the reduction in average message response time and the number of messages auto-routed to appropriate departments.
   Reveal Solution Discussion Select an answer first
6. 5foundation · easy

   Which practice helps maintain ongoing adoption of AI across an organization?

   • ARestricting access to AI tools to a few experts
   • BProviding regular training and support to users
   • CRemoving AI tools after initial rollout
   • DDiscontinuing feedback channels
   Reveal Solution Discussion Select an answer first