Best People Analytics Software: 8 Platforms Reviewed (2026)
People analytics software answers questions about employees from the data HR already holds: why turnover rose, who is at risk of leaving, whether pay is equitable, where the hiring funnel leaks, how diverse the pipeline and the leadership are, and what a restructure would cost. The eight platforms here differ less in features than in who they are built for: the enterprise with a thousand employees and a data team, the European organisation with GDPR obligations, the mid-sized company that needs a price on a web page, or the customer of Workday, SAP or Microsoft 365 for whom a module beats a platform.
I reviewed eight with pricing checked in October 2026 and labelled estimates where it is quoted. The first three are starting points for the three most common buyers; the rest follow alphabetically, and the use-case table below says which platform handles which question. The workforce analytics review covers the activity-side and planning tools that sit beside these.
Which platform answers your question
Pick the use case and your core systems.
The Workday, SAP and Viva modules surface only for their own stacks; Orgvue only for organisation design; ChartHop leads under 500 people.
The 8 platforms
Three starting points, then five alphabetically.
Visier as the reference platform for organisations of a thousand and up, One Model for analytics teams that want the data layer, Crunchr for European organisations wanting a fast deployment.
Visier People
Governed model, hundreds of metrics, predictive attrition
See the detailOne Model
Open warehouse and explainable machine learning
See the detailCrunchr
Pre-built dashboards with GDPR governance
See the detailThe rest, alphabetically:
- ChartHop: people analytics on the org chart from $2.
- Orgvue: spans, layers, activity and cost.
- SAP SuccessFactors Workforce Analytics and Planning: standardised metrics with benchmarks.
- Microsoft Viva Insights: meeting, focus and manager patterns at aggregate.
- Workday People Analytics and Adaptive Planning: stories and anomalies on native data.
Comparison at a glance
Pricing as published in October 2026 where it exists; quote-only vendors carry labelled estimates.
| Tool | Positioned for | Pricing checked October 2026 | Where it falls short |
|---|---|---|---|
| The reference people analytics platform | Quote only. Priced by headcount and connected data sources on annual contracts; independent reports place typical mid-market deals above $50,000 a year and enterprise deployments with several modules well above that | Quote only; 1,000-plus | |
| Analytics teams that want the data layer | Quote only, per employee per month across Essentials, Data Mesh and Enterprise tiers; independent reports place annual contracts between roughly $30,000 and $150,000 depending on headcount and data scope | Quote only | |
| European organisations wanting fast deployment | Quote only, priced per employee per year; no public price list | Quote only | |
| Mid-sized companies at a published price | Basic (org chart and directory) $2 per employee per month with no minimum; core modules from $8 per employee for the first and $4 for each additional, with a $9,000 minimum annual contract; implementation scoped separately | Less predictive depth | |
| Organisation design analytics | Quote only. Independent reports place enterprise deployments between roughly $40,000 and $200,000 a year by organisation size and scope | Project tool | |
| SAP SuccessFactors customers | Quote only, sold as a module of SAP SuccessFactors or standalone against other HR systems, priced per employee on annual contracts | SAP first | |
| Collaboration analytics in Microsoft 365 | Viva Insights $6 per user per month as a Microsoft 365 add-on, or in the Viva Suite at $12; some capabilities included in Microsoft 365 E5 | Metadata only | |
| Workday customers | Quote only. People Analytics and Adaptive Planning are priced as modules of a Workday HCM contract, per employee on payroll on multi-year terms | Workday only |
The tools in detail
Visier People
Governed model, hundreds of metrics, predictive attritionWhat it is
The reference people analytics platform: governed data model, hundreds of metrics, predictive attrition and planning; quote only, 1,000-plus employees.
Why it is on this list
Visier leads people analytics as the platform that defined the category: a governed data model across HR systems, several hundred pre-built metrics and questions, predictive attrition, pay equity and diversity analytics, and a natural-language assistant. Quote only, for organisations of a thousand and up.
Where it is strong
- Hundreds of pre-built metrics and questions
- Governed people data model across sources
- Predictive attrition and planning
- Natural-language assistant
Where it falls short
- Quote only; enterprise price
- Sized for 1,000-plus employees
- Implementation needs clean data
One Model
Open warehouse and explainable machine learningWhat it is
People analytics with an open data layer and explainable machine learning for analytics teams; quote only.
Why it is on this list
One Model is second for analytics teams that want the data layer exposed: every source into a queryable warehouse, pre-built metrics, and explainable machine learning they can inspect and extend. Quote only.
Where it is strong
- Open data layer you can query
- Explainable machine learning
- Any data source
- Flexible for analytics teams
Where it falls short
- Quote only
- Needs an analytics team to shine
- Interface less polished than Visier
Crunchr
Pre-built dashboards with GDPR governanceWhat it is
European people analytics with fast deployment, GDPR governance and natural-language queries; quote only.
Why it is on this list
Crunchr is third for European mid-to-large organisations: pre-built dashboards on headcount, turnover, hiring, diversity and pay, natural-language queries and GDPR-grade governance with a fast deployment; quoted per employee per year.
Where it is strong
- Fast deployment
- Strong GDPR governance
- Natural-language queries
- Pre-built dashboards
Where it falls short
- Quote only
- Smaller presence outside Europe
- Fewer advanced models
ChartHop
People analytics on the org chart from $2What it is
Org chart, headcount planning and people analytics from $2 per employee published; modules per employee with a $9,000 minimum.
Why it is on this list
ChartHop is here for mid-sized companies: headcount, turnover, DEI and pay equity analytics on the org chart from a published $2 per employee, with modules above a $9,000 minimum; less predictive depth than the enterprise platforms.
Where it is strong
- Published $2 entry price
- Visual org chart as the interface
- Headcount planning and comp reviews
- Reachable for mid-sized companies
Where it falls short
- Modules add up per employee
- $9,000 minimum above Basic
- Less predictive depth
Orgvue
Spans, layers, activity and costWhat it is
Organisational design and workforce planning for restructures; quote only.
Why it is on this list
Orgvue is on the list for organisation design analytics: spans and layers, activity and cost analysis, and scenario comparison for restructures; quoted and expensive.
Where it is strong
- Org design and scenario comparison
- Spans and layers analysis
- Activity and cost modelling
- The restructure tool
Where it falls short
- Quote only; expensive
- Design projects, not daily reporting
- Steep learning curve
SAP SuccessFactors Workforce Analytics and Planning
Standardised metrics with benchmarksWhat it is
Standardised HR metrics, benchmarks and strategic workforce planning as a SuccessFactors module; quote only.
Why it is on this list
SAP SuccessFactors Workforce Analytics earns its place for SAP customers: a standardised metric library with external benchmarks and planning as a module.
Where it is strong
- Standardised metrics with benchmarks
- Strategic workforce planning
- Works with non-SAP HR systems
- Enterprise governance
Where it falls short
- Quote only
- Best for SAP customers
- Interface dated in places
Microsoft Viva Insights
Meeting, focus and manager patterns at aggregateWhat it is
Collaboration patterns from Microsoft 365 metadata with privacy thresholds; $6 add-on.
Why it is on this list
Viva Insights is here for collaboration analytics in Microsoft 365: meeting load, focus time, manager one-on-ones and after-hours patterns, aggregated above privacy thresholds, as a $6 add-on; metadata only.
Where it is strong
- Collaboration patterns from Microsoft 365
- Privacy thresholds built in
- $6 add-on
- Manager and leader insights
Where it falls short
- Microsoft 365 only
- Metadata, not content or outcomes
- Aggregate reporting only by design
Workday People Analytics and Adaptive Planning
Stories and anomalies on native dataWhat it is
People Analytics stories and Adaptive Planning as Workday modules; Workday customers only.
Why it is on this list
Workday People Analytics closes the list for Workday customers, with narrative stories and anomaly detection on native data and no integration project.
Where it is strong
- Native to Workday data
- Narrative stories and anomalies
- Adaptive Planning on the same data
- No integration project
Where it falls short
- Workday customers only
- Quote only, multi-year
- Limited outside Workday data
Use cases and which platform handles them
| Question | Data needed | Strongest platforms | Watch for |
|---|---|---|---|
| Why is turnover rising and who is at risk | Exits, tenure, pay, promotions, manager changes, engagement | Visier, One Model, Crunchr, Workday | Risk scores are probabilities; use at population level |
| Is pay equitable | Pay, grade, role, location, tenure, performance, protected attributes | Visier, ChartHop, One Model, SAP | Pay transparency laws now require the analysis in several states |
| How diverse is the pipeline and leadership | Applicants, hires, promotions, exits by attribute | Visier, Crunchr, ChartHop, Workday | Small groups; minimum cell sizes |
| Where does the hiring funnel leak | ATS stages, time to fill, source, quality of hire proxies | Visier, One Model, Crunchr, Workday | ATS data quality |
| How do managers and teams collaborate | Meeting, email and chat metadata | Viva Insights | Aggregate only; metadata, not outcomes |
| What would a restructure cost and change | Roles, reporting lines, activities, cost | Orgvue, ChartHop | Consultation obligations |
The pay transparency laws guide covers the states where pay equity analysis is now an obligation, the turnover rate entry the calculation that every attrition analysis starts from, and the engagement survey guide the survey data these platforms join to the HR record.
Maturity before tooling
People analytics fails more often on data and definitions than on software. Before a quote: one agreed definition of headcount, turnover, hire and promotion across the organisation (the HR metrics guide has the standard ones); clean job architecture and location data in the HRIS; a known owner for each source system; and two or three business questions that leaders will act on. With those in place, a mid-sized organisation can get most of the value from ChartHop or an analyst with Power BI, and an enterprise will get far more from Visier or One Model than one that buys the platform first and the definitions later.
Privacy and AI rules
People analytics runs on personal data and the rules follow it: GDPR and the UK and EU works council regimes for European employees, the California Consumer Privacy Act's employee provisions, Illinois's biometric and AI-in-hiring laws, New York City's automated employment decision tool audit requirement, and the California automated decision rules for any model that affects employment decisions. Activity-side tools (ActivTrak, Time Champ, Viva Insights) are monitoring and need the monitoring policy and the notice several states require; the privacy line guide says what stays out of scope. Aggregate first, with minimum group sizes, and treat predictive attrition scores as a prompt for a conversation, never as a decision.
Reading a quote
Most of this category is quote-priced. Where I give a figure for a quote-only vendor it is the range independent buyer reports and procurement advisers describe, labelled as an estimate, not a price list; your quote will depend on headcount, data sources, modules and contract length. Published prices are stated as published.
How these tools were evaluated
I evaluated each tool against the same checklist: what it captures and how configurable that is, which platforms it runs on, how it treats the employee (visible or silent agent, access to their own data, screenshot blurring and private time), what the published pricing is and what the minimum commitment really costs, how long data is kept, where it can be deployed, and what the vendor's own documentation and verified user reviews say about reliability and support. Pricing was taken from each vendor's pricing page in October 2026; where a vendor publishes no price, the page says so rather than guessing. Free plans and trials were used where they exist. I did not run a formal benchmark, and the page does not claim one.
Disclosure. I have done work for Time Champ. It appears here because it belongs in this category, it is held to the same criteria as every other product, its drawbacks are listed like everyone else's, and it bought no placement. There are no affiliate or vendor links on this page.
Key takeaways
- People analytics platforms differ in who they are built for more than in features: enterprise, European, mid-sized, or a customer of Workday, SAP or Microsoft 365.
- Visier as the reference, One Model for data teams, Crunchr in Europe, ChartHop for mid-sized at a published price; Orgvue for design; Viva for collaboration; Workday and SAP modules for their customers.
- Agree definitions and clean the HRIS before buying; the platform cannot fix either.
- Pay equity analysis is now a legal obligation in several states; attrition scores are probabilities for population-level use.
Frequently asked questions
What is the best people analytics software?
Visier for organisations of a thousand or more, as the platform that defined the category with a governed data model, hundreds of metrics and predictive attrition; One Model for analytics teams that want the data layer and explainable models; Crunchr for European organisations wanting fast deployment with GDPR governance. ChartHop for mid-sized companies at a published price, Orgvue for organisation design, Viva Insights for collaboration analytics in Microsoft 365, Workday People Analytics and SAP SuccessFactors Workforce Analytics for their own customers.
What does people analytics software do?
It connects HRIS, applicant tracking, payroll, performance and engagement data into one model and answers questions about turnover and attrition risk, pay equity, diversity, hiring funnel performance, mobility and manager effectiveness, with dashboards, pre-built metrics, natural-language queries and in the stronger platforms predictive models and planning.
How much does people analytics software cost?
ChartHop publishes $2 per employee for Basic with analytics modules per employee above a $9,000 annual minimum; Viva Insights is $6 per user as a Microsoft 365 add-on. Visier, One Model, Crunchr and Orgvue are quoted; independent reports place One Model between roughly $30,000 and $150,000 a year, Visier above $50,000 for mid-market and well above for enterprise, Orgvue between $40,000 and $200,000. Workday and SAP analytics are priced within their contracts.
Is people analytics software worth it for a company under 500 employees?
Usually not the enterprise platforms. ChartHop is priced for that size, and an HR analyst with Power BI or Tableau on clean HRIS exports covers headcount, turnover, hiring and pay reporting for the cost of the licences. The enterprise platforms pay when data lives in several systems, definitions must be governed across a large organisation, and predictive models are wanted.
Can people analytics software do pay equity analysis?
Yes: Visier, ChartHop, One Model, Crunchr, SAP and Workday all offer pay equity analysis controlling for role, grade, location, tenure and performance, with gaps by gender and race surfaced. Several states' pay transparency laws now require employers to analyse and in some cases report pay data, which makes this the most common first use case.
What is the difference between people analytics and HR reporting?
HR reporting describes what happened: headcount, hires, exits, by month and department, from one system. People analytics joins several sources, applies agreed definitions, segments and compares, explains why, and in the stronger platforms predicts: who is at risk, which hiring sources produce retained employees, where pay gaps exist after controlling for legitimate factors.