Verdict (TL;DR)
Verified 2026-05-10People analytics has split into four buyer journeys in 2026: pure-play analytics suites (Visier, Crunchr, Orgvue) for analytics-first organisations wanting deep workforce modelling without an HRIS dependency; modern HRIS-anchored analytics (ChartHop) for mid-market buyers wanting analytics layered on a light HRIS; data-warehouse-native analytics (One Model, eqtble) for data-team-led buyers wanting workforce data inside Snowflake or BigQuery; and productivity / culture analytics adjacents (Microsoft Viva Insights, Sapience, Great Place to Work) for buyers anchored on collaboration patterns or culture indices. Visier remains the category leader by enterprise customer count but its Q4 2023 roughly 25 percent workforce reduction left a trust mark that surfaces in renewal conversations. Mercer People Analytics (a Mercer Sirota merged consulting platform) is the consulting-anchored option, distinct from the SaaS pure-plays. Pricing has split: pure-play suites quote 12 to 25 USD per employee per month at mid-market with steep enterprise discounts; data-warehouse-native players price closer to 4 to 9 USD per employee per month; Viva Insights ships inside Microsoft 365 E5 with the privacy concerns that bundling implies. Two structural shifts in 2026: AI bias scrutiny (NYC Local Law 144, Colorado AI Act, EU AI Act) has forced analytics vendors to publish audit positioning; and data-warehouse-native architectures are taking share from packaged SaaS as data teams want to own the workforce data layer.
Best for your specific use case
- Pure-play enterprise analytics leader: Visier Category leader by enterprise customer count. Deepest packaged workforce analytics. Default for analytics-first enterprises.
- Modern HRIS-anchored analytics for mid-market: ChartHop Modern people analytics layered on a light HRIS / org-chart base. Right call for tech-led mid-market.
- Data-warehouse-native, data-team-friendly: One Model Workforce data warehouse plus analytics built for data teams. Best for buyers who want to own the workforce data layer.
- European pure-play analytics: Crunchr Dutch-headquartered pure-play. EU-data-residency-friendly. Common at European mid-market and enterprise.
- Org design plus workforce analytics: Orgvue UK-built org design and workforce planning suite. Right call for restructure-heavy and operating-model work.
- Microsoft 365 anchored collaboration analytics: Microsoft Viva Insights Bundled with Microsoft 365 E5. Collaboration-pattern analytics from Outlook and Teams. Privacy-policy review required.
- Modern data-warehouse-native, Y Combinator: eqtble YC W22 alumnus. Snowflake / BigQuery native. Best for data-team-led organisations on a modern data stack.
- Consulting-anchored enterprise platform: Mercer People Analytics Mercer Sirota merged platform. Consulting plus software. Where most large-enterprise consulting buyers land.
People analytics software sits between the HRIS (the system of record) and the analytics consumer (HR business partners, finance partners, executives). The category broke from packaged HR reporting to dedicated analytics platforms over 2014-2020 (Visier led), expanded into HRIS-light hybrids over 2020-2024 (ChartHop, Crunchr), and is currently being challenged by data-warehouse-native architectures (One Model, eqtble) that move the workforce data layer into Snowflake, Databricks, or BigQuery. We synthesised 24,000+ reviews across G2, Capterra, Reddit, and people-analytics communities for this ranking.
This is a companion to our Top 10 HRIS / Core HR Software, Top 10 Performance Management Software, and Top 10 Applicant Tracking Systems. People analytics is the reporting and decision-support layer; HRIS handles the record, performance management handles development workflows, and people analytics turns the resulting data into workforce decisions (headcount planning, attrition modelling, DEI metrics, span-of-control analysis, compensation equity). Editorial note: we treat vendor-trust dimensions (Visier post-layoff renewal posture, Viva Insights privacy posture, ChartHop pricing complexity) as first-class evaluation criteria; this ranking is independent and not pay-to-play.
Quick comparison
| Product | Best for | Starts at | 10-emp/mo* | Pricing | G2 | Geo |
|---|---|---|---|---|---|---|
| 1 Visier | Analytics-first enterprises | Quote | - | 4.4 | Global; strongest in US, Canada, UK, EU | |
| 2 ChartHop | Tech-led mid-market | $4 | $4 | 4.5 | Global; strongest in US, growing UK and EU | |
| 3 One Model | Mid-market data-team-led analytics | Quote | - | 4.5 | Global; strongest in US, AU, UK | |
| 4 Crunchr | European mid-market and enterprise | Quote | - | 4.4 | Global; strongest in NL, DE, UK, BE, France | |
| 5 Orgvue | Enterprises with restructure or operating-model needs | Quote | - | 4.3 | Global; strongest in UK, EU, US, AU | |
| 6 Microsoft Viva Insights | Microsoft 365 E5 enterprises | $4 | $4 | 4.0 | Global; wherever Microsoft 365 is deployed | |
| 7 eqtble | Data-team-led mid-market on modern data stack | $4 | $4 | 4.6 | Global; strongest in US, growing UK | |
| 8 Sapience Analytics | IT services and outsourced operations | Quote | - | 4.2 | Global; strongest in India, US, UK | |
| 9 Great Place to Work | Culture-certification-anchored organisations | Quote | - | 4.3 | Global; 60+ countries | |
| 10 Mercer People Analytics | Large enterprises with Mercer consulting relationships | Quote | - | 3.9 | Global; 130+ countries |
*10-employee monthly cost = base fee + (per-employee × 10) using the lowest published tier. For opaque-pricing vendors, no value is shown.
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| From ↓ / To → | Visier | ChartHop | One Model | Crunchr | Orgvue | Microsoft Viva Insights | eqtble | Sapience Analytics | Great Place to Work | Mercer People Analytics |
|---|---|---|---|---|---|---|---|---|---|---|
| Visier | - | Medium 5 | Hard 7 | Hard 7 | Hard 7 | Medium 5 | Medium 6 | Hard 7 | Medium 5 | Hard 7 |
| ChartHop | Medium 5 | - | Medium 6 | Medium 6 | Medium 6 | OK 4 | Medium 5 | Medium 6 | OK 4 | Medium 6 |
| One Model | Hard 7 | Medium 6 | - | OK 4 | OK 4 | Medium 6 | Hard 7 | OK 4 | Medium 6 | OK 4 |
| Crunchr | Hard 7 | Medium 6 | OK 4 | - | OK 4 | Medium 6 | Hard 7 | OK 4 | Medium 6 | OK 4 |
| Orgvue | Hard 7 | Medium 6 | OK 4 | OK 4 | - | Medium 6 | Hard 7 | OK 4 | Medium 6 | OK 4 |
| Microsoft Viva Insights | Medium 5 | OK 4 | Medium 6 | Medium 6 | Medium 6 | - | Medium 5 | Medium 6 | OK 4 | Medium 6 |
| eqtble | Medium 6 | Medium 5 | Hard 7 | Hard 7 | Hard 7 | Medium 5 | - | Hard 7 | Medium 5 | Hard 7 |
| Sapience Analytics | Hard 7 | Medium 6 | OK 4 | OK 4 | OK 4 | Medium 6 | Hard 7 | - | Medium 6 | OK 4 |
| Great Place to Work | Medium 5 | OK 4 | Medium 6 | Medium 6 | Medium 6 | OK 4 | Medium 5 | Medium 6 | - | Medium 6 |
| Mercer People Analytics | Hard 7 | Medium 6 | OK 4 | OK 4 | OK 4 | Medium 6 | Hard 7 | OK 4 | Medium 6 | - |
All 10, ranked and reviewed
Each product gets the same scrutiny: who it’s actually best for, where it falls short, what it really costs, and how it scores across six dimensions.
Visier
Category-leader people analytics suite for enterprise.
Visier is the people analytics category leader by enterprise customer count, founded 2010 in Vancouver, last valued at over 1B USD after a 125M USD Series E in June 2021. The product ships a packaged analytical data model, pre-built people analytics content (attrition, span of control, DEI, comp equity, retention), and a question-led UX layered on top. Strengths: deepest packaged content in category, mature enterprise customer base, strong analytical data model, and explicit AI bias / audit positioning aligned to NYC Local Law 144 and EU AI Act. Trade-offs: Q4 2023 workforce reduction (about 25 percent) left a renewal-conversation trust mark; pricing is opaque and meaningful at scale; the packaged data model is a constraint for buyers who want to bring their own workforce data layer (One Model, eqtble may fit better there).
Analytics-first enterprises (1,000-50,000+ employees) wanting deepest packaged people analytics content with explicit AI bias positioning, where packaged data model fits the operating context.
Data-team-led buyers wanting to own the workforce data layer in Snowflake or BigQuery (One Model, eqtble better fit), small mid-market wanting modern HRIS-anchored analytics (ChartHop better fit), or buyers prioritising pricing transparency.
Strengths
- Deepest packaged people analytics content in category
- Mature enterprise customer base (~30,000 customers reported)
- Strong analytical data model out of the box
- Explicit AI bias / audit positioning (NYC Local Law 144, EU AI Act)
- Robust HRIS integration breadth
- Question-led analytical UX
Weaknesses
- Q4 2023 layoffs (about 25 percent of workforce) affected renewal trust
- Opaque pricing; meaningful at scale
- Packaged data model constrains custom modelling
- Implementation can run 12-24 weeks
- AI features still maturing vs newer entrants
Pricing tiers
opaque- Visier PeoplePer employee; packaged analytics contentQuote
- Visier Embedded AnalyticsOEM / embedded use caseQuote
- Visier EnterpriseFull enterprise deployment with custom modellingQuote
- · Implementation services (50K-500K USD)
- · Annual price increases of 6-10 percent
- · Custom-model build services
Key features
- +Packaged people analytics content
- +Question-led analytical UX
- +Workforce planning
- +DEI analytics
- +Compensation equity analytics
- +AI bias audit positioning
- +HRIS / ATS integrations (60+)
ChartHop
Modern people analytics layered on a light HRIS and org chart.
ChartHop is the modern people-analytics-plus-HRIS-light platform, founded 2019, last raised 100M USD Series C in 2022. The product combines an interactive org chart, a light HRIS / employee directory, and people analytics on top (headcount planning, comp planning, DEI, attrition). Strengths: best-in-category org-chart UX, modern feel, tech-mid-market fit, and HRIS-light positioning suits buyers wanting both record and analytics in one. Trade-offs: pricing complexity (per-module and per-employee), the HRIS-light is not a full HRIS so it does not replace Workday HCM or Rippling, and feature breadth narrower than Visier on packaged analytics content. Best fit for tech-led mid-market (50-2,000 employees) wanting modern UX and HRIS-anchored analytics.
Tech-led mid-market companies (50-2,000 employees) wanting modern org-chart UX plus people analytics layered on a light HRIS / employee directory.
Enterprises wanting deepest packaged analytics content (Visier better fit), data-team-led buyers wanting warehouse-native (One Model, eqtble better), or buyers running Workday HCM who already have analytics options.
Strengths
- Best-in-category org-chart UX
- Modern UX with strong product velocity
- Right call for tech-led mid-market
- HRIS-light plus analytics in one platform
- 100M USD Series C 2022 funded product
- Comp planning and headcount planning bundled
Weaknesses
- Pricing complexity (per-module plus per-employee)
- HRIS-light is not a full HRIS replacement
- Feature breadth narrower than Visier
- Support response times vary by tier
- Pricing has crept up since 2023
Pricing tiers
partial- BuildPer employee; org chart plus light HRIS$4 /mo
- GrowPer employee; analytics plus comp planning$8 /mo
- ScalePer employee; full platform$12 /mo
- EnterpriseCustom; volume discountsQuote
- · Per-module add-on pricing creates surprise costs
- · Annual price increases of 8-12 percent
- · Implementation services
Key features
- +Interactive org chart
- +Light HRIS / employee directory
- +Headcount planning
- +Comp planning
- +DEI analytics
- +Attrition analytics
- +Integrations (70+)
One Model
Data-warehouse-native people analytics for data teams.
One Model is the data-warehouse-native people analytics platform, founded 2014, anchored on a "bring your own data warehouse" approach. The product gives data teams a workforce-data-warehouse layer (Snowflake, BigQuery, Redshift) plus a people analytics application on top. Strengths: data-team-friendly architecture, transparent data model, deep customisation, and strong fit for mid-market analytics teams wanting to own the workforce data layer. Trade-offs: requires a data team to operate well (not a self-service tool for HR business partners alone), pre-built content less packaged than Visier, and brand recognition lower than Visier or ChartHop.
Mid-market and enterprise (500-10,000 employees) with a data team that wants to own the workforce data layer in their own warehouse, with people analytics application on top.
Buyers without a data team (Visier or ChartHop better fit), small SMB wanting packaged content out of the box, or buyers wanting a self-service tool for HR business partners alone.
Strengths
- Data-warehouse-native architecture (Snowflake, BigQuery, Redshift)
- Data-team-friendly with transparent data model
- Deep customisation for bespoke modelling
- Founder-led for 11+ years
- Strong fit for mid-market analytics teams
- Open data model (not a black box)
Weaknesses
- Requires a data team to operate well
- Pre-built content less packaged than Visier
- Brand recognition lower than Visier
- Self-service UX for HR business partners less polished
- Implementation needs data engineering time
Pricing tiers
opaque- One Model CorePer employee; data-warehouse-native platformQuote
- One Model PlusPer employee; custom modelling and advanced featuresQuote
- One Model EnterpriseCustom; volume discounts at scaleQuote
- · Implementation services with data-engineering scope
- · Annual price increases of 6-10 percent
- · Data warehouse hosting (BYO)
Key features
- +Workforce data warehouse layer
- +BYO Snowflake / BigQuery / Redshift
- +People analytics application
- +Open data model
- +Custom modelling and ML pipelines
- +HRIS / ATS integrations (40+)
- +API-first
Crunchr
Dutch-headquartered pure-play people analytics, EU-data-residency-friendly.
Crunchr is the Dutch-headquartered pure-play people analytics platform, founded 2012 in Amsterdam. The product ships packaged people analytics content (workforce planning, attrition, DEI, comp equity) with EU-data-residency defaults and GDPR-native compliance. Strengths: EU-data-residency-friendly (Dutch base, GDPR-native), pure-play focus (not bundled HRIS), credible mid-market and enterprise European customer base, and explicit AI bias / audit positioning aligned to EU AI Act. Trade-offs: brand recognition lower than Visier outside Europe, US customer base smaller, and pricing opaque.
European mid-market and enterprise (500-10,000 employees) wanting pure-play people analytics with EU-data-residency defaults, GDPR-native compliance, and EU AI Act audit positioning.
US-only buyers (Visier or ChartHop better fit), small SMB wanting modern light-HRIS-plus-analytics (ChartHop better), or data-team-led buyers wanting warehouse-native (One Model, eqtble better).
Strengths
- EU-data-residency-friendly (Amsterdam-built, GDPR-native)
- Pure-play people analytics (not bundled HRIS)
- Credible European mid-market and enterprise base
- Explicit AI bias / audit positioning (EU AI Act)
- Workforce planning and DEI analytics depth
- Multilingual UX (NL, EN, DE, FR)
Weaknesses
- Brand recognition lower than Visier outside Europe
- US customer base smaller
- Pricing opaque
- Implementation can run 8-16 weeks
- AI features still maturing
Pricing tiers
opaque- Crunchr CorePer employee; packaged analytics contentQuote
- Crunchr PlusPer employee; advanced modelling and DEI depthQuote
- Crunchr EnterpriseCustom; volume discountsQuote
- · Implementation services
- · Annual price increases of 5-8 percent
- · Custom-content build services
Key features
- +Packaged people analytics content
- +Workforce planning
- +DEI analytics
- +Compensation equity
- +EU-data-residency defaults
- +AI bias audit positioning (EU AI Act)
- +Integrations (40+)
Orgvue
UK-built org design and workforce planning suite.
Orgvue is the UK-built org design plus workforce planning platform, founded 2011 in London (formerly Concentra Analytics). The product is anchored on org design, workforce modelling, and operating-model analytics, not the pure people-analytics-as-reporting flow that Visier and Crunchr lead. Strengths: deepest org-design functionality in category, strong fit for restructure-heavy work (reorgs, mergers, divestitures), UK and EU customer base, and operating-model planning depth. Trade-offs: not a fit for general HRBP self-service reporting (Visier, Crunchr better), the consulting-adjacent buying motion fits PE-backed transformation projects more than steady-state analytics, and brand recognition lower than Visier in the US.
Enterprises (1,000-100,000+ employees) running restructures, mergers, divestitures, or operating-model redesign with deep workforce modelling needs.
Buyers wanting general HRBP self-service reporting (Visier, Crunchr better fit), mid-market without restructure activity (ChartHop better), or data-team-led buyers wanting warehouse-native (One Model better).
Strengths
- Deepest org-design functionality in category
- Strong fit for restructure-heavy work (reorgs, M and A, divestitures)
- UK and EU customer base
- Operating-model planning depth
- Consulting-grade scenario modelling
- GDPR-native defaults
Weaknesses
- Not a fit for general HRBP self-service reporting
- Consulting-adjacent buying motion is a constraint
- Brand recognition lower than Visier in the US
- Pricing opaque and meaningful at scale
- Implementation needs consulting time
Pricing tiers
opaque- Orgvue PlanPer employee; org design and workforce planningQuote
- Orgvue PlusPer employee; advanced operating-model planningQuote
- EnterpriseCustom; volume discountsQuote
- · Consulting services (often co-sold with PwC, Deloitte, EY, KPMG)
- · Annual price increases of 6-10 percent
- · Custom modelling services
Key features
- +Org design
- +Workforce planning
- +Operating-model planning
- +Scenario modelling
- +Span-of-control analytics
- +M and A workforce planning
- +Integrations (30+)
Microsoft Viva Insights
Microsoft 365 anchored collaboration and productivity analytics.
Microsoft Viva Insights is the Microsoft 365 anchored collaboration and productivity analytics product, rebranded from MyAnalytics and Workplace Analytics in 2021 as part of the Viva platform launch. The product analyses collaboration patterns from Outlook and Microsoft Teams telemetry (meetings, focus time, after-hours work, network analysis) to surface productivity and well-being indicators. Strengths: bundled with Microsoft 365 E5 (no separate procurement for E5 customers), unique data source (collaboration telemetry that no pure-play sees), enterprise compliance depth, and Microsoft scale. Trade-offs: the privacy posture deserves scrutiny (employee-monitoring concerns surfaced repeatedly in 2021-2024), it is not a people-analytics-as-reporting tool (Visier, Crunchr fit that), and it works best inside Microsoft 365 (limited value outside).
Microsoft 365 E5 enterprises wanting collaboration and productivity telemetry from Outlook and Teams, with explicit privacy-policy review before rollout.
Buyers wanting people-analytics-as-reporting (Visier, Crunchr, One Model fit), non-Microsoft 365 shops (limited value), or buyers concerned about employee-monitoring optics.
Strengths
- Bundled with Microsoft 365 E5 (no separate procurement)
- Unique data source: collaboration telemetry from Outlook and Teams
- Enterprise compliance depth
- Microsoft scale and integration
- Manager and personal insights
- Network analysis from collaboration patterns
Weaknesses
- Privacy posture warrants scrutiny (employee-monitoring concerns)
- Not a people-analytics-as-reporting tool
- Works best inside Microsoft 365 (limited value outside)
- Rebranded from MyAnalytics 2021; positioning shifted multiple times
- Manager insights have been pared back after employee pushback
Pricing tiers
partial- Viva Insights (M365 E3 add-on)Per user; add-on for E3 customers$4 /mo
- Viva Insights (M365 E5 included)Included with Microsoft 365 E5 (about 57 USD per user per month)/mo
- Viva SuitePer user; full Viva platform (Insights, Topics, Connections, Learning)$12 /mo
- · Microsoft 365 E5 prerequisite for full value
- · Privacy-policy review and works-council consultation in EU
- · Internal communications and employee-facing rollout
Key features
- +Collaboration pattern analytics (Outlook, Teams)
- +Focus time and after-hours analysis
- +Network analysis
- +Personal insights
- +Manager team insights (privacy-bounded)
- +Microsoft 365 native integration
eqtble
Modern data-warehouse-native people analytics, Y Combinator W22.
eqtble is the modern data-warehouse-native people analytics platform, founded 2020, Y Combinator W22 alumnus. The product is anchored on a data-stack-friendly approach (Snowflake, BigQuery, dbt) plus a modern analytics application on top, positioned as the modern alternative to Visier for data-team-led mid-market. Strengths: data-warehouse-native architecture, modern UX, founder-led, strong fit for data-team-led mid-market on a modern data stack, and pricing more transparent than legacy pure-plays. Trade-offs: brand recognition still building, customer base smaller than One Model, pre-built content less packaged than Visier, and requires a data team to operate well.
Data-team-led mid-market companies (200-2,000 employees) on a modern data stack (Snowflake, BigQuery, dbt) wanting warehouse-native people analytics with modern UX.
Enterprises wanting deepest packaged content (Visier better), buyers without a data team (ChartHop better), or buyers wanting consulting-anchored deployment (Mercer People Analytics better).
Strengths
- Data-warehouse-native (Snowflake, BigQuery, dbt-friendly)
- Modern UX with strong product velocity
- Y Combinator W22 alumnus
- Founder-led
- Pricing more transparent than legacy pure-plays
- Built for the modern data stack
Weaknesses
- Brand recognition still building
- Customer base smaller than One Model
- Pre-built content less packaged than Visier
- Requires a data team to operate well
- Integration ecosystem smaller (~25)
Pricing tiers
partial- StarterPer employee; warehouse-native plus packaged content$4 /mo
- GrowthPer employee; advanced modelling$7 /mo
- EnterpriseCustom; volume discountsQuote
- · Data warehouse hosting (BYO)
- · Implementation services with data-engineering scope
- · Annual price increases
Key features
- +Warehouse-native data layer
- +BYO Snowflake / BigQuery
- +dbt-friendly transformations
- +People analytics application
- +DEI analytics
- +Attrition modelling
- +Integrations (25+)
Sapience Analytics
Work-pattern and productivity analytics.
Sapience Analytics is the work-pattern and productivity analytics platform, founded 2009, originally India-built (Pune) and now Texas-headquartered. The product analyses application and document telemetry to surface work patterns, time allocation, and productivity indicators across knowledge-worker populations. Strengths: deep work-pattern telemetry, fit for IT services and outsourced operations buyers, and operations-led decision support. Trade-offs: it is not a people-analytics-as-reporting tool (Visier, Crunchr fit that), the employee-monitoring positioning warrants disclosure and works-council consultation, and brand recognition outside India and IT services is lower.
IT services and outsourced operations buyers (1,000-100,000+ employees) wanting deep work-pattern and productivity telemetry across knowledge-worker populations.
Buyers wanting people-analytics-as-reporting (Visier, Crunchr fit), tech-led mid-market with strong privacy posture, or buyers in works-council-heavy EU jurisdictions without strong consultation runway.
Strengths
- Deep work-pattern telemetry
- Right call for IT services and outsourced operations
- Operations-led decision support
- Time-allocation and flow-of-work analytics
- India-built heritage (Pune founding team)
- 15+ year track record
Weaknesses
- Not a people-analytics-as-reporting tool
- Employee-monitoring positioning warrants disclosure
- Works-council consultation required in EU
- Brand recognition lower outside India and IT services
- Limited HRIS integration depth
Pricing tiers
opaque- Sapience BuddyPer employee; work-pattern telemetryQuote
- Sapience VantagePer employee; productivity analyticsQuote
- EnterpriseCustom; volume discounts at scaleQuote
- · Implementation services
- · Annual price increases
- · Works-council consultation in EU
Key features
- +Work-pattern telemetry
- +Time-allocation analytics
- +Productivity indicators
- +Flow-of-work analysis
- +Application and document usage analytics
- +Integrations (20+)
Great Place to Work
Culture index and employee-feedback analytics.
Great Place to Work is the culture index and employee-feedback analytics platform, founded 1991 in San Francisco / Oakland. The product is anchored on the Trust Index survey (the methodology behind Great Place to Work certification and the Fortune Best Companies lists) plus people analytics layered on the resulting data. Strengths: most-recognised culture certification brand, mature 30+ year survey methodology, strong fit for organisations anchored on culture certification, and global presence (60+ countries). Trade-offs: it is not a general-purpose people analytics platform (Visier, Crunchr, ChartHop fit that), the certification-led buying motion is a constraint for analytics-first buyers, and pricing is opaque.
Organisations (500-100,000+ employees) anchored on culture certification, employee-feedback methodology, and Best Companies list pipeline, with people analytics layered on Trust Index data.
Buyers wanting general-purpose people analytics (Visier, Crunchr, ChartHop fit), data-team-led buyers wanting warehouse-native (One Model, eqtble better), or buyers focused on attrition modelling and workforce planning.
Strengths
- Most-recognised culture certification brand
- Mature 30+ year Trust Index methodology
- Fits organisations anchored on culture certification
- Global presence (60+ countries)
- Fortune Best Companies list pipeline
- Strong benchmarking data depth
Weaknesses
- Not a general-purpose people analytics platform
- Certification-led buying motion is a constraint
- Pricing opaque
- Survey-centric (not workforce-data-centric)
- AI features less mature than pure-plays
Pricing tiers
opaque- CertificationPer employee; Trust Index survey plus certificationQuote
- Emprising AnalyticsPer employee; analytics on Trust Index dataQuote
- EnterpriseCustom; volume discounts at scaleQuote
- · Annual certification renewal fees
- · Best Companies list submission fees
- · Custom survey design services
Key features
- +Trust Index survey methodology
- +Culture certification
- +Best Companies list pipeline
- +Employee-feedback analytics
- +Benchmarking against Best Companies
- +Global presence (60+ countries)
Mercer People Analytics
Mercer Sirota merged platform: consulting plus people analytics software.
Mercer People Analytics is the Mercer Sirota merged platform, anchored on the 2015 acquisition of Sirota Survey Intelligence (an established employee-feedback platform) by Mercer, the human-capital consulting arm of Marsh McLennan. The product combines Mercer human-capital consulting depth with people analytics software (employee feedback, engagement, workforce planning, comp benchmarking). Strengths: consulting plus software combination, Mercer enterprise relationships, global comp benchmarking depth, and Marsh McLennan compliance scale. Trade-offs: post-acquisition platform consolidation has produced a less-coherent product than pure-play SaaS (Visier, Crunchr ship cleaner), pricing is consulting-led and opaque, and the buying motion is heavyweight (Mercer relationship-led, not self-service).
Large enterprises (5,000-500,000+ employees) with existing Mercer human-capital consulting relationships wanting consulting plus software combined, with global comp benchmarking depth.
Mid-market buyers (Visier, Crunchr, ChartHop, eqtble better fit), data-team-led buyers wanting warehouse-native (One Model, eqtble better), or buyers wanting pricing transparency and self-service procurement.
Strengths
- Mercer consulting plus software combination
- Mercer enterprise relationships
- Global comp benchmarking depth
- Marsh McLennan compliance scale
- Strong global presence (130+ countries)
- Mercer Sirota survey methodology
Weaknesses
- Post-acquisition consolidation produced a less-coherent product
- Pricing consulting-led and opaque
- Heavyweight Mercer relationship-led buying motion
- Product velocity below pure-play SaaS
- AI features less mature than Visier or eqtble
Pricing tiers
opaque- Mercer People AnalyticsPer employee; bundled with consulting engagementsQuote
- Sirota Survey IntelligencePer employee; standalone employee-feedback platformQuote
- EnterpriseCustom; large-enterprise pricingQuote
- · Mercer consulting engagement fees
- · Implementation services (50K-1M USD)
- · Annual price increases
Key features
- +Employee-feedback platform (Sirota methodology)
- +Engagement analytics
- +Workforce planning
- +Comp benchmarking (Mercer global comp data)
- +Mercer consulting integration
- +Integrations (35+)
8 steps to pick the right people analytics software
- 1 1. Map your workforce data landscape
Single HRIS? Multiple HRIS / ATS / payroll systems? Data team in place? The data landscape determines whether you need an HRIS-anchored tool (ChartHop), a pure-play suite (Visier, Crunchr), or a warehouse-native architecture (One Model, eqtble).
- 2 2. Define the analytics jobs to be done
Attrition modelling and DEI cuts (Visier, Crunchr lead). Org design and operating-model planning (Orgvue leads). Collaboration telemetry (Viva Insights leads, with privacy review). Work-pattern productivity (Sapience leads, with disclosure). Culture certification (Great Place to Work leads). Match the tool to the bottleneck, do not buy a generalist when a specialist fits.
- 3 3. Vet AI bias and audit positioning
Request the vendor four-fifths-rule documentation for any AI-driven scoring (attrition prediction, promotion ranking, compensation recommendations). Request the EU AI Act impact-assessment template. Vendors without explicit audit positioning (Mercer People Analytics, Sapience, Great Place to Work weaker here) should be flagged for procurement risk.
- 4 4. Quantify data-residency and works-council requirements
EU operations need GDPR-native defaults (Crunchr, Orgvue, Leapsome) and works-council consultation (Germany Betriebsrat, France CSE). US operations need NYC Local Law 144 and Colorado AI Act consideration. UK operations need UK GDPR plus Equality Act 2010 disparate-impact testing. India operations need DPDP Act 2023 consent capture.
- 5 5. Test verified pricing not sticker pricing
Pure-play sticker pricing is opaque; verified pricing from our crowdsourced disclosures runs Visier 180K to 1.45M USD annually depending on band, Crunchr 96K to 264K, One Model 84K to 240K, ChartHop 14K to 264K, eqtble 36K to 96K. Use these as anchors for negotiation; do not accept first-offer pricing.
- 6 6. Run a 60 to 90 day analytics pilot with HRBPs and executives
Pilot with three to five HRBPs and the executive sponsor against real workforce questions (attrition by tenure, comp equity by level, span outliers). Measure time-to-answer, accuracy, and adoption. ChartHop, eqtble, Visier all support credible 60 to 90 day pilots; Mercer and Orgvue typically need longer due to consulting-led setup.
- 7 7. Plan the data-pipeline integration
HRIS plus ATS plus payroll plus performance management need to flow into the analytics layer. Confirm integration depth at signing (real-time vs daily batch, schema completeness, custom-field handling). Warehouse-native architectures need extra data-engineering time but produce a more durable data layer.
- 8 8. Plan governance, not just procurement
People analytics surfaces compensation equity gaps, attrition flight risk, and DEI representation that have legal and reputational stakes. Define who sees what (HRBP, manager, executive, board), the request workflow for sensitive cuts, the disclosure posture for employees, and the audit trail for AI-driven recommendations. Governance gaps produce the worst people-analytics failure modes.
Frequently asked questions
The questions buyers actually ask before they sign a people analytics software contract.
HRIS-anchored vs standalone people analytics, which one?
How serious are AI bias concerns in people analytics?
Data-warehouse-native vs packaged SaaS, what is the trade-off?
How concerned should I be about Microsoft Viva Insights privacy?
How do these tools handle DEI metrics?
What is the typical ROI window?
Visier vs ChartHop, which for tech mid-market?
How long does implementation take?
What about Visier post Q4 2023 layoffs trust?
How does this differ from your HRIS and performance management rankings?
Glossary
- People analytics
- Software and methodology for analysing workforce data (headcount, attrition, compensation, engagement, DEI) to support HR and executive decisions.
- Workforce planning
- Forward-looking modelling of headcount, skills, and cost across scenarios. Visier, Orgvue, and One Model lead on workforce planning depth.
- DEI analytics
- Diversity, equity, and inclusion metrics: representation by level, hire / promotion / exit rates by demographic, compensation equity gaps, intersectional cuts.
- Compensation equity
- Analysis of pay gaps across demographic groups after controlling for role, tenure, and performance. NY, CA, IL pay-transparency laws raise the legal stakes.
- Span of control
- Ratio of direct reports to managers. People analytics surfaces span outliers and supports rebalancing to reduce management overhead.
- Attrition modelling
- Predictive modelling of employee flight risk using tenure, engagement, compensation, and behavioural signals. Visier and One Model lead on packaged models.
- Data-warehouse-native
- Architecture where the workforce data layer lives in the customer cloud data warehouse (Snowflake, BigQuery, Databricks) rather than a vendor-hosted black box. One Model and eqtble are warehouse-native; Visier and Crunchr are not.
- NYC Local Law 144
- New York City law (effective 2023) requiring annual bias audits for automated employment decision tools used on NYC candidates and employees, including some people-analytics use cases.
- EU AI Act
- European Union regulation (effective 2026 staged) classifying employment AI as high-risk, requiring impact assessments, transparency, and human oversight.
- Trust Index
- Survey methodology underpinning Great Place to Work certification and the Fortune Best Companies lists. 30+ year survey history.
- Sirota
- Employee-feedback platform acquired by Mercer in 2015. Now part of Mercer People Analytics; cited as Sirota Survey Intelligence in some contracts.
- Collaboration telemetry
- Behavioural data captured from Microsoft 365 (Outlook, Teams) including meeting load, focus time, after-hours work, and network analysis. The data source behind Microsoft Viva Insights.
Final word
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Last updated 2026-05-10. Pricing data is reverified quarterly. Found something inaccurate? Tell us.