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People Analytics
People analytics should explain why teams perform, not just count headcount. We connect behavioral, survey and operational data to find the leading signals of engagement, retention and team effectiveness, and apply them ethically.
The problem behind the problem.
Human resources teams hold some of the richest behavioral data in any organization: hiring flows, internal mobility, learning activity, scheduling, collaboration patterns and engagement surveys. Yet much of it stays in separate systems, reported as descriptive counts such as headcount, turnover and training hours. Leaders learn that a valued team member is leaving when the resignation arrives, and they see engagement scores once a year, long after the conditions that shaped them have changed.
People analytics also carries real risks. Poorly designed models can embed bias, surveillance can damage trust, and correlations between activity metrics and performance are easy to misread. Organizations need an approach that is rigorous about measurement, transparent with employees and focused on improving the conditions for good work. Done well, people analytics helps leaders act earlier, and more fairly, on the conditions that drive retention, engagement and sustained team performance.
How we deliver people analytics.
- 01Observe
Understand the work and the culture
We interview leaders, managers and employees, observe how work flows across teams, and review existing HR, engagement and operational data. This grounds analysis in the realities of the organization and identifies the people outcomes that matter most, such as early tenure retention, manager effectiveness or team collaboration.
- 02Signal
Find the leading people signals
We integrate HR, survey and operational data and use survival analysis, cohort comparisons and multilevel models to identify early signals of turnover, disengagement and performance. We distinguish individual, team and manager-level effects, because many apparent people problems are actually team, workload or system problems that no individual can solve alone.
- 03Design
Design measures and interventions
Signals are turned into predictive people KPIs and paired with interventions, such as onboarding redesign, manager coaching, workload adjustments or recognition practices. We apply self-determination theory and research on psychological safety to target autonomy, competence, belonging and trust, not just satisfaction, and we specify how each intervention is expected to change the leading signal it targets.
- 04Test
Pilot and evaluate fairly
Interventions are piloted with comparison groups where possible, and every model is audited for disparate impact across demographic groups. We evaluate both intended outcomes and unintended effects, such as increased workload or reduced trust, and refine designs with input from the employees involved before broader rollout.
- 05Scale
Build responsible capability
We help HR and business leaders establish people analytics governance, including data use principles, employee communication and access controls. Dashboards are designed for managers, and leadership coaching helps them use the insights constructively. Your team gains methods, code and documentation to continue the work, along with a review cadence that keeps models current and fair.
Deliverables.
What changes.
Who engages us.
Our people analytics work supports chief people officers, HR analytics leads, chief executives, chief operating officers and clinical workforce leaders. It fits organizations facing rising early-tenure turnover, rapid growth, post-merger integration, burnout concerns in clinical teams, or a desire to connect engagement survey investment to measurable results. Professional services firms, health systems, software companies and portfolio companies are common clients.
Industries
Beyond the balance sheet.
People analytics, done ethically, makes workplaces better for the people in them. Employees benefit when burnout and overload are detected early and addressed through system changes rather than blame. Fairness audits reduce bias in promotion and pay. Managers gain the insight to support their teams well. We refuse surveillance-style monitoring and design every use of workforce data to be explainable to the people it describes.
Frequently asked questions.
How do you protect employee privacy in people analytics?
We follow data minimization, aggregate results to protect individuals, restrict access by role and avoid invasive monitoring of personal communications. We also recommend clear communication to employees about what data is used and why. Analyses that would identify individuals for adverse action are outside our scope. The goal is to improve the conditions of work, not to watch workers.
Can people analytics predict who will leave?
Analytics can identify patterns associated with higher turnover risk, such as particular onboarding experiences, workload patterns or team conditions. We focus on these conditions rather than labeling individuals, because acting on conditions is fairer and more effective. Predictions about individuals are probabilistic and should prompt supportive conversations, never punitive decisions.
How does people analytics connect to coaching and leadership development?
Analytics often reveals that outcomes vary more by team and manager than by individual. That points directly to leadership and team coaching as interventions. Our firm combines both capabilities, so insights from people analytics can inform coaching priorities, and coaching programs can be evaluated with the same measurement rigor applied to any other intervention.
What data sources are typically involved?
Common sources include HR information systems, applicant tracking, learning platforms, engagement and pulse surveys, performance processes, scheduling and operational data. We start with what is readily available and valuable, and only add sources when they answer a clear question. More data is not always better, especially when it raises privacy concerns.
Often paired with.
Survey & Measurement Design
Build surveys and measurement instruments that are reliable, valid and ready to inform decisions, grounded in psychometrics rather than in guesswork.
ExplorePredictive KPI Design
Replace lagging and vanity metrics with behavior-based leading indicators that forecast results and give teams something they can actually influence.
ExploreBehavioral Data Analysis
Integrate siloed, noisy datasets and find the patterns of human action that explain conversion, retention, adoption and engagement in your organization.
ExploreRelated insights.
Psychological Safety at Work
What psychological safety at work really means, why it matters for learning and performance, and the specific leader behaviors that build or erode it.
Read
People Problems Are Business Problems
Every business result is the sum of human behavior. Why people problems inside and outside the organization are the real business problems, and how behavioral signals make them measurable.
ReadReady to talk about people analytics?
Every engagement begins with a conversation. Tell us what you are facing and we will tell you, candidly, how we would approach it.
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