Talent management is where people strategy meets execution. AI tools accelerate the documentation-heavy parts of talent work — writing performance reviews, developing career frameworks, analyzing engagement data — while the judgment-intensive parts (calibration discussions, promotion decisions, sensitive conversations) remain deeply human.

1. Performance Management

Performance Review Writing

Prompt: Help me write a performance review for this employee.

Employee: Jordan Chen, Senior Product Manager
Review period: 2025 (annual)
Manager's assessment: Strong performer, mostly meets expectations, 
one area for growth

Accomplishments this year (from notes):
- Led launch of mobile checkout feature (3-month project, shipped on time, 
  23% increase in mobile conversion rate)
- Managed 2 new PMs joining the team (both ramped successfully in 90 days)
- Strong stakeholder communication — got engineering and design aligned on 
  contested roadmap priorities without escalation
- Missed opportunity to drive more user research earlier in mobile checkout project 
  (resulted in 2 post-launch iterations that could have been caught earlier)
- Areas to grow: Strategic thinking at the portfolio level, 
  not just feature level; executive presence in all-hands presentations

Write a performance review that:
- Opens with overall performance assessment
- Celebrates specific accomplishments with impact
- Addresses the area for improvement fairly (not harshly, not softened to meaninglessness)
- Connects to next year's development focus
- Is in second person ("You led...")
- Appropriate length: 400-600 words
- Tone: Respectful, specific, growth-oriented

Performance Improvement Plan (PIP)

Prompt: Draft a Performance Improvement Plan for this situation.

Employee: Operations Coordinator (3 years tenure)
Performance issues identified:
- Consistent lateness in deliverables (missed 7 of 12 deadlines in Q3/Q4)
- Quality issues: 4 escalations from internal clients about errors in reports
- Communication gap: Not proactively flagging when deadlines are at risk
- Manager has had 3 informal coaching conversations over last 6 months

Performance expectations:
- Deliverables: 95%+ on-time within agreed deadline
- Quality: Zero errors on client-facing reports (self-review process required)
- Communication: Proactive update when any deliverable will be delayed

PIP document should include:
1. Current performance vs. expected performance (specific, factual)
2. Improvement expectations (specific, measurable)
3. Support and resources provided (training, check-ins, clarifications)
4. Timeline (typically 30/60/90 days)
5. Review schedule (weekly check-ins with manager)
6. Consequences if expectations not met
7. Acknowledgment section

Tone: Fair, professional, clear — not punitive but serious
Note: PIPs should be reviewed by HR and legal before delivery

360-Degree Feedback Facilitation

Prompt: Help me design a 360 feedback process.

Context: 360 feedback for 8 senior managers, done twice yearly
Participants: Manager's direct reports, peers, and their manager (upward)
Current problem: Feedback is too vague ("good communicator") 
                  to be actionable

Design:
1. Question set for each feedback type:
   - Direct reports (downward) — 6-8 questions
   - Peers — 4-6 questions
   - Manager (upward) — 4-6 questions

2. Rating scale with behavioral anchors:
   - 5-point scale
   - Describe what each level looks like behaviorally (not just 1-5)

3. Open-ended questions that generate specific, actionable feedback:
   - "What is one specific thing [name] does that makes the team more effective?"
   - "What is one thing [name] could do differently that would improve..."

4. Instructions to respondents: How to give candid but constructive feedback

5. Process for sharing results:
   - Who sees what (employee sees all, manager sees aggregated only)
   - How manager debrefs results with employee
   - How results connect to development planning

Competencies to assess (customize for our company):
- Leadership and people development
- Communication and influence
- Strategic thinking
- Execution and accountability
- Collaboration

2. Career Development

Career Framework Development

Prompt: Build a career framework for this function.

Function: Engineering (Software Engineers)
Levels: IC1 through IC6 (individual contributor track), plus management track
Company stage: Series C, 150 engineers, growing to 300 in 18 months

For each level (IC1-IC6), define:
1. Title
2. Years of experience (typical range, not requirement)
3. Technical scope (what complexity of problems they solve)
4. Autonomy (how much direction they need)
5. Impact (individual, team, org, company, industry)
6. Technical skills (specific, behavioral descriptions — not "strong coder")
7. Leadership and collaboration expectations
8. Hiring bar (would we hire at this level externally?)

Philosophy: 
- Focus on impact and behavior, not years of experience
- Each level should be clearly differentiated (not interchangeable)
- Written to help engineers understand where they are and where to grow

Also: Define the criteria for promotion from each level to the next
(What does the conversation look like? What evidence is required?)

Individual Development Plan (IDP)

Prompt: Create an Individual Development Plan for this employee.

Employee: Maya Rodriguez, Senior Data Scientist
Current level: L4 (Senior)
Goal: Promoted to L5 (Staff) within 18 months
Manager assessment: Strong technical contributor, ready to grow scope and influence

Key development areas identified in recent review:
1. Cross-functional leadership — needs to drive projects across teams without authority
2. Communication to non-technical stakeholders — presenting to executives
3. Technical mentorship — hasn't formally mentored junior data scientists yet
4. Strategic framing — connecting data work to business outcomes, not just analysis

Create an IDP:
1. Current state vs. target state for each development area
2. Specific development activities (not vague "take a course")
   - Stretch assignments (what project would build this skill?)
   - Learning resources (specific courses, books, communities)
   - Relationships (who should she build relationships with?)
   - Practice opportunities (where to apply the skill safely?)
3. Success metrics (how will we know she's ready?)
4. Check-in cadence and support from manager
5. Timeline (12-18 month roadmap)

Note: IDP should be co-created with Maya, not just handed to her

3. Succession Planning

Succession Risk Assessment

Prompt: Help me assess succession risk for our leadership team.

Organization: 15-person leadership team (VPs and above)
Data I have:
- Each leader's retention risk (High/Medium/Low — from HR system)
- Role criticality (how hard to fill, based on market availability)
- Current bench strength (do we have internal candidates?)
- Performance rating of each leader
- Tenure and assumed flight risk (time since promotion, competitive market)

For each leader, assess:
1. Succession risk score (Critical/High/Medium/Low)
2. Key factors driving risk
3. Recommended immediate actions (if Critical/High)
4. Internal succession candidates (if they exist)
5. Timeline to develop internal candidates

Priority matrix:
- Critical: Role is critical AND bench is thin AND retention risk is high
- High: Two of three factors are present
- Medium: One factor or moderate across all three
- Low: Role could be filled, bench exists, or person is stable

Output: Succession plan heat map + action plan for top 5 risk areas

Succession Candidate Assessment

Prompt: Write a succession candidate assessment.

Candidate: Alex Park, Director of Marketing
Being assessed as potential successor for: VP Marketing role
Current VP: Sarah Chen (planning to retire in 2 years)

Alex's strengths (from 360 feedback, performance reviews):
- Exceptional digital marketing expertise
- Strong relationship builder (internal and with agency partners)
- Delivered 140% of pipeline target last year
- High EQ — people love working for him

Alex's development areas:
- Limited experience with brand and communications (VP role requires both)
- No P&L ownership experience ($8M budget for VP role)
- Hasn't managed managers (currently manages 3 ICs)
- Board and executive presentation experience needed

Assessment format:
1. Overall succession readiness (Ready Now / Ready in 1-2 years / Ready in 3+ years)
2. Strengths that translate well to VP role
3. Specific gaps and development plan to close them
4. Risk factors (what could derail his readiness?)
5. Development actions: What experiences does he need in next 12 months?
6. Recommended conversation with Alex (how to discuss this)

Note: This assessment is confidential — not shared with Alex as written

4. Compensation Analysis

Compensation Equity Review

Prompt: Help me analyze compensation equity data.

Data I have: 200 employees across 5 departments
Columns: Employee ID, Department, Job Title, Level, Gender, 
         Ethnicity, Years at Company, Base Salary, Last Increase %, Last Increase Date

Analyze for potential inequities:
1. Pay gap analysis:
   - Gender: Controlled (same level, same department, same tenure)
   - Race/ethnicity: Same controls as above
   - Report: Median salary by group, with controls applied

2. Compa-ratio analysis (salary vs. midpoint of pay band):
   - Identify employees below 90% compa-ratio (underpaid)
   - Flag if demographic patterns exist in who is below compa-ratio

3. Increase frequency and size by demographic:
   - Have certain groups received fewer increases?
   - Are increase amounts different for comparable employees?

4. Promotion rate by demographic:
   - Time-to-promotion by group
   - Promotion rate (% promoted in last 2 years) by group

Output: 
- Statistical analysis with confidence levels
- Top 5-10 specific cases to investigate further
- Recommended adjustments (general approach, not specific amounts)

Note: Consult employment law counsel before taking action based on this analysis

Compensation Band Setting

Prompt: Help me set compensation bands for a new role.

New role: AI/ML Engineer
Location: Remote (US-based)
Seniority levels: Junior, Mid, Senior, Staff
Company: 200-person B2B SaaS, Series C, not yet profitable

Process to follow:
1. What market data sources should I use?
2. How do I define the competitive market for this role?
   (What percentile should we target? Why?)
3. How to structure the bands:
   - Band width (typical for tech roles)
   - Where in the band do we start new hires?
   - When do we adjust existing employees?
4. How to handle geographic pay differentials 
   (remote employee in high vs. low COL area)
5. How often to refresh these bands?
6. How to communicate band ranges to employees and candidates?

Note: I'll verify specific numbers against Levels.fyi, Radford, or Mercer 
before finalizing — need your guidance on the framework.

5. Employee Engagement

Engagement Survey Analysis

Prompt: Help me analyze and present engagement survey results.

Survey: Annual engagement survey, 180 employees, 73% response rate
Overall engagement score: 71% favorable (industry benchmark: 68%)

Scores by dimension (favorable %):
- Leadership trust: 68% (↓5% from last year)
- Career development: 58% (↓8% — lowest of all dimensions)
- Work-life balance: 79% (↑3%)
- Collaboration: 82% (stable)
- Compensation fairness: 61% (↓4%)
- Manager effectiveness: 74% (stable)

Notable verbatim themes (from open-ended):
- Many comments about unclear career paths
- Several comments about promotion decisions feeling opaque
- Positive comments about team culture
- Some comments about compensation not keeping up with market

Departments with lowest scores: Engineering (62%), Product (65%)
Departments with highest scores: Sales (82%), Customer Success (78%)

Provide:
1. Executive summary (leadership presentation, 5 minutes)
2. Root cause analysis for the 2 largest declines
3. Priority action recommendations (3-5 items with expected impact)
4. What we should NOT do (common responses that backfire)
5. Timeline for communicating results to employees
6. How to present transparently without alarming people

Format: Slide narrative (what would I say on each slide)

AI talent management tools are most valuable for the time-consuming documentation work — performance reviews, frameworks, plans — that HR teams and managers consistently report as their biggest time drain. The human judgment layer (the actual assessment, the calibration conversation, the difficult feedback) cannot be replaced and shouldn’t be.