High-yield PSM-AI Essentials review for key rules, traps, decision cues, formulas, and final-week reminders.
Use this for last-mile PSM-AI review. Pair it with the Syllabus for coverage and Practice for speed.
Choose the answer that:
| If the scenario is really about… | Stronger answer pattern | Weaker answer pattern |
|---|---|---|
| event facilitation | use AI to prepare, summarize, or suggest options while keeping human facilitation real | let AI replace the conversation |
| coaching or conflict | use AI to draft questions or frame options, then coach with the team | let AI judge people or assign blame |
| impediments | use AI to explore root causes and experiments | use AI to push the team harder without fixing the system |
| metrics | use AI to spot patterns and inform improvement | rank individuals or turn metrics into targets |
| Guardrail | Why it matters |
|---|---|
| do not paste private or regulated data into non-approved tools | speed is not a defense against policy breaches |
| treat AI output as untrusted until validated | hallucinations and false confidence are normal |
| watch for prompt injection from external text | the model can be manipulated by hostile input |
| keep a human owner for decisions and communications | accountability does not transfer to the tool |
| protect psychological safety | AI should not become a surveillance or ranking mechanism |
| Situation | Good AI support | Guardrail |
|---|---|---|
| Sprint Planning | draft Sprint Goal options, risks, or clarifying questions | Developers and PO still decide |
| Daily Scrum | summarize blockers and possible next steps | do not turn it into stakeholder status theatre |
| Sprint Review | summarize feedback patterns and candidate backlog updates | Product decisions stay human |
| Retrospective | propose small experiments with measures | team owns the improvement choices |
| Term | What to remember | Fast cue |
|---|---|---|
| LLM or GenAI | useful for drafting and pattern-finding, not guaranteed truth | validate before acting |
| context window | the model only sees limited context | keep prompts focused |
| hallucination | plausible false output | verify facts and quotes |
| RAG | responses grounded in trusted sources | stronger than “memory only” for knowledge tasks |
| fine-tuning | changes behavior with data and increases governance needs | not the default answer to every problem |
1Context: [team/product], Sprint goal: [goal], issues observed: [bullets].
2Task: identify 3 to 5 themes and propose 2 safe-to-try experiments.
3Constraints: experiments must be measurable within 1 Sprint.
4Output: theme bullets plus Experiment / Expected impact / Measure / Owner.
1Context: [impediment], symptoms: [bullets], constraints: [time/people/tools].
2Task: provide 3 plausible root causes and the next best step for each.
3Guardrails: label assumptions and prefer actions that increase transparency.
Ready to drill? Use the PSM-AI practice handoff or go straight to the PSM-AI Essentials practice preview on MasteryExamPrep.