PMI-ACP Practice Questions #61
During the last sprint retrospective, your team faced communication gaps leading to delayed deliverables. Using a data collection tool the team inputs the following details:
- Key successes: Timely completion of critical user stories.
- Challenges: Lack of clear ownership for certain tasks.
- Lessons: Importance of assigning task ownership upfront.
How can generative AI improve future retrospectives based on this input?
A. By auto-generating task ownership assignments for future sprints.
B. By identifying team members responsible for delays and automating notifications.
C. By summarizing historical challenges and suggesting proactive measures.
D. By creating project plans based on previous successes.
Analysis
The question focuses on how Generative AI can enhance Agile retrospectives based on team feedback. The retrospective has identified key successes, challenges, and lessons learned, particularly emphasizing communication gaps and task ownership issues. The goal is to leverage AI to improve knowledge sharing, analyze past challenges, and suggest proactive measures to prevent similar issues in future sprints.
Generative AI can contribute by:
- Summarizing retrospective data and identifying patterns to help teams continuously improve.
- Providing insights based on historical challenges to suggest corrective actions.
- Facilitating knowledge sharing and decision-making, without directly taking control of task assignments.
Analysis of Options:
A: By auto-generating task ownership assignments for future sprints.
This gives too much control to AI, which is not ideal in an Agile environment. Task ownership should be a team-driven decision, not something an AI system assigns automatically. AI can suggest ownership trends, but not make direct assignments.
B: By identifying team members responsible for delays and automating notifications.
This option focuses on blame rather than improvement, which contradicts psychological safety in Agile teams. AI should be used to analyze trends and provide insights, not to single out individuals for mistakes. Agile retrospectives should foster collaboration and learning, not fear of AI-generated notifications.
C: By summarizing historical challenges and suggesting proactive measures.
This is the best option because it aligns with how AI should be used in retrospectives—as a tool for data-driven insights rather than direct control. AI can analyze previous challenges and suggest ways to improve communication and task ownership, helping the team continuously refine their process.
D: By creating project plans based on previous successes.
While AI can suggest improvements based on past wins, automatically generating project plans may not be effective. Agile relies on adaptive planning, team collaboration, and continuous iteration, rather than fixed plans based on past data.
Conclusion
The correct answer is Option C, as it effectively uses Generative AI to analyze retrospective data, summarize key insights, and suggest proactive improvements. This enhances knowledge sharing, supports team learning, and helps prevent future communication gaps—without removing human decision-making in Agile processes.
PMI – ACP Exam Content Outline Mapping
| Domain | Task |
| Leadership | Promote Knowledge Sharing |
Topics Covered:
- Utilize Generative AI to analyze retrospective data and identify patterns from historical challenges.
- Summarize key insights from past retrospectives to improve team learning and knowledge sharing.
- Suggest proactive measures to enhance team communication, ownership, and task allocation for future sprints.
- Encourage continuous improvement by providing data-driven insights without undermining team autonomy or decision-making.
- Promote a culture of collaboration and transparency by offering AI-powered suggestions to prevent recurring issues.
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