People Analytics for CHROs: A 90-Day Action Framework

Why CHROs Need a 90-Day Framework

Most CHRO-led people analytics initiatives stall in the first six months. The pattern is consistent: the platform is licensed, data flows in, dashboards are built — and then nothing happens. The CEO or board does not see the value, and the initiative loses momentum.

The 90-day framework below is designed to avoid that pattern. Each phase produces a tangible artifact, the right stakeholders see value at the right time, and the action layer is built before momentum runs out.

The 90-Day Framework

Days 1–30: Establish the Baseline

Objective: Get foundational data flowing and answer "what is happening with our workforce?"

Activities:

• Connect HRIS, ATS, and engagement survey data
• Map the foundational metrics: turnover by manager, by tenure, by role; engagement by team; skills inventory baseline
• Audit data quality and identify gaps
• Build the executive baseline dashboard

Outputs:

• Workforce baseline dashboard (current state)
• Data quality assessment
• 90-day analytics roadmap

Critical: do NOT build predictive models yet. Baseline first. Trust the data before predicting from it.

Recommended tools:

• PeoplePilot Analytics for unified mid-market deployment
• Visier for enterprise scale with dedicated data team
• Workday People Analytics for Workday-stack shops

Days 31–60: Build Credibility

Objective: Answer the three most important questions your board or CEO has asked in the last 12 months.

Activities:

• Identify the three highest-leverage questions (typically: voluntary attrition drivers, manager effectiveness gaps, skills inventory vs. strategy)
• Build the analytics that answer those three questions specifically
• Validate findings with a small group of stakeholders before going public
• Present to executive team

Outputs:

• Three executive briefs answering the strategic questions
• Validated findings ready for board reporting
• Allies and skeptics surfaced and addressed

Why this phase matters: People analytics gains executive credibility through specific answers to important questions, not through dashboard breadth. Get one big right answer in this phase.

Days 61–90: Activate the Action Layer

Objective: Pick one predictive insight and build the operational workflow that responds to it.

Activities:

• Pick one predictive insight (most common: attrition risk for high-performers)
• Build the operational workflow: who acts on the insight, what they do, how it is tracked
• Run the workflow for 30 days
• Measure the outcome: did the predicted bad thing happen less often?

Outputs:

• One operational use case live (e.g., manager-led retention conversations triggered by attrition risk)
• Measured results from the 30-day pilot
• Roadmap for expanding to additional use cases

Why this phase matters: People analytics that produces dashboards without action is academic. The action layer is what turns analytics into business value.

Critical Success Factors

Get Executive Sponsorship Early

Phase 1 dashboards land better when the CEO or COO has seen them. Pre-brief sponsorship before the broader executive presentation in Phase 2.

Pick One Big Question, Not Ten

Phase 2 fails when you try to answer ten executive questions. Pick three; deeply answer those.

Connect to Operational HR

Phase 3 fails when the analytics platform is a standalone tool. Connect to your engagement surveys, performance management, and learning platforms — see PeoplePilot's connected suite for an example architecture.

Build the Action Habit

Phase 3 is where most initiatives stall. Make the action workflow simple, embedded in tools managers already use, and measured.

Plan for Year 2 in Day 90

Day 90 should produce a Year 2 roadmap, not a "we're done" message. People analytics is an ongoing capability, not a project.

Common 90-Day Mistakes

• Starting with predictive models. Foundation first. Predict only after the baseline is trusted.
• Trying to answer every question. Three big questions. Not ten.
• Skipping the action phase. Phase 3 is the difference between dashboards and value.
• Underinvesting in change management. Managers using the analytics need training, support, and sustained communication.
• Choosing the wrong platform. Visier requires a data team; mid-market CHROs without one will miss Phase 2 deadlines.

Frequently Asked Questions

Do I need a data team for this framework? Depends on the platform. With Visier — yes. With PeoplePilot Analytics or Workday People Analytics — no, the framework is designed for HR-led operation.

Can I compress this to 60 days? Possibly, but Phase 3 (action layer) typically needs the full 30 days to validate. Compressing tends to mean skipping action.

What if the data is bad in Phase 1? Common. Phase 1 outputs a data quality assessment specifically for this reason. Address the worst gaps before moving to Phase 2.

What is the highest-leverage Phase 2 question? Usually voluntary attrition drivers. The CEO has likely asked it; the answer drives operational decisions; the data is usually available.

How do I know the action layer is working? Measure the outcome the prediction was about. If you predicted attrition risk and ran retention conversations, did the predicted-risk employees stay?

Related Reading

• What is People Analytics?
• 6 Best People Analytics Tools for CHROs
• 10 Best HR Analytics Software

See where you stand: Take the Analytics Maturity Quiz and benchmark your CHRO analytics readiness in under 5 minutes.