OVI is an AI-native applicant tracking system (ATS) at ovi-me.com. You chat with AI agents Sora and Milo to source candidates, screen CVs, and run AI voice interviews in one workflow.

How do I sign in to OVI?

Sign in to OVI at https://ovi-me.com/auth with your work email or Google account. New teams can start a free trial from the homepage.

OVI AI refers to OVI's hiring agents — Milo for CV screening and Sora for sourcing — built into the AI-native ATS so recruiting teams chat to hire instead of clicking through traditional ATS screens.

OVI is the AI-native ATS where you chat to hire. Two AI agents — Sora for sourcing and Milo for screening — find candidates, score every CV, and run AI interviews, all controlled from a single chat.

What does "chat to hire" mean?

Chat to hire is OVI's AI-native hiring workflow: instead of clicking through a traditional ATS, you describe what you need in chat and OVI's AI agents source candidates, screen applicants, run AI interviews, and send outreach for you.

What is an AI-native ATS?

An AI-native ATS is an applicant tracking system built around AI agents rather than forms and pipelines. OVI's AI chat ATS lets recruiters source, screen, interview, and follow up through conversation — the agents do the work and surface only the candidates worth meeting.

Who are Sora and Milo?

Sora is OVI's AI sourcing agent — she scans LinkedIn, the open web, and your ATS history to find best-fit candidates and reach out in your name. Milo is OVI's AI screening agent — he scores every applicant against your rubric and surfaces a ranked shortlist.

How do OVI's AI interviews work?

OVI runs async AI interviews for every shortlisted candidate and returns scores, transcripts, and recordings — so your team only meets the people worth meeting.

AI People Analytics Platforms 2026: Which Tool Matches Your Data Maturity?

By Chris Weinmann, Founder, OVI

Published 2026-07-15

The people analytics technology market reached $12.2 billion in 2025, up from $9.7 billion in 2024 — a 14.8% compound annual growth rate that signals sustained enterprise investment (RedThread Research, 2025). Yet the gap between adoption and impact remains stark: 76% of companies now have HR analytics tools, but only 21% use them effectively (Insight222, 2025).

For HR buyers, the question is no longer whether to invest in people analytics. It is which platform matches your organisation's data maturity, team size, and integration landscape. This guide maps four market segments, reviews five leading platforms, and provides a decision framework to cut through vendor noise.

The Market in 2026: Cooling Growth, Rising Expectations

Vendor growth expectations have fallen from 56% expecting high growth in 2022 to just 37% in 2026 (RedThread Research, 2025). The market is maturing — consolidation is replacing land-grab expansion. For buyers, this means more stable platforms, more predictable pricing, and sharper differentiation between vendors.

Meanwhile, 32% of CHROs cite improving employee data for actionable insights as a top strategic priority (Insight222, 2025). The pressure to move from dashboards to decisions is intensifying.

Four Market Segments: Where Does Your Organisation Fit?

Segment	Best For	Leading Platforms	Typical Price Range	Implementation
Enterprise Pure-Play	5,000+ employees, dedicated analytics teams	Visier, One Model	$50K–$150K+/year	4–8 months
HRIS-Embedded Analytics	Organisations already on a major HCM suite	Workday People Analytics, SAP SuccessFactors	Bundled with HCM license	2–4 weeks (activation)
Engagement Specialists	200–5,000 employees, culture-first orgs	Culture Amp, Lattice	$5–$12 per employee/month	2–6 weeks
Mid-Market Standalone	500–5,000 employees, cost-conscious buyers	Crunchr, PeoplePilot	$3–$8 per employee/month	2–4 weeks

Platform Reviews

Visier People

Best for: Large enterprises (5,000+ employees) with dedicated people analytics teams seeking a single source of workforce truth.

Visier is the category-defining pure-play people analytics platform. It ingests data from 75+ HR and business systems to deliver pre-built analytics across the employee lifecycle — from headcount planning and attrition prediction to DEI tracking and compensation modelling.

AI capabilities: Vee, Visier's generative AI assistant, allows users to ask questions in natural language and receive instant visual answers. The platform's machine learning models surface anomalies and predict risks without requiring data science expertise (Visier, 2025).

Considerations: At $50K–$150K+ annually with 4–8 month implementation timelines, Visier is purpose-built for data-mature organisations with the budget and headcount to maximise its capabilities. Gartner Peer Insights users rate its analytics depth highly but note the learning curve for advanced features (Gartner Peer Insights, 2025).

Workday People Analytics

Best for: Organisations already running Workday HCM that want analytics without a separate procurement cycle.

Workday People Analytics differentiates itself through plain-language narrative findings — augmented analytics that translate data into written stories. Rather than presenting dashboards requiring interpretation, Workday proactively surfaces insights like "attrition risk has increased 15% in engineering this quarter" (PeoplePilot, 2026).

AI capabilities: Graph-based machine learning analyses organisational patterns across connected workforce data. Ideal for HR generalists and business partners who are not data analysts.

Considerations: Analytics depth is narrower than dedicated platforms like Visier. Best value comes from being fully embedded in the Workday HCM ecosystem — standalone adoption is not viable.

Culture Amp

Best for: Mid-market organisations (200–5,000 employees) that prioritise engagement, performance, and development as an integrated system.

Culture Amp combines employee engagement surveys, performance management, and development tools with an analytics layer that connects them. Its AI-assisted analysis identifies themes across open-ended survey responses and correlates engagement drivers with business outcomes (Eletive, 2026).

AI capabilities: AI comment analysis across surveys, predictive attrition modelling, and automated action recommendations based on engagement data patterns.

Considerations: Analytics are strongest within Culture Amp's own data ecosystem. Organisations needing cross-system workforce analytics (HRIS, finance, operations data) may find its scope limiting compared to pure-play platforms.

Lattice

Best for: Growth-stage companies (200–2,000 employees) wanting performance, engagement, and lightweight analytics in one platform.

Lattice positions itself at the intersection of performance management and people analytics, offering OKR tracking, 360-degree reviews, engagement surveys, and analytics dashboards within a unified interface (Workhuman, 2026).

AI capabilities: AI-powered insights surface correlations between performance ratings, engagement scores, and retention risk. Compensation benchmarking analytics help mid-market companies make data-driven pay decisions.

Considerations: Lattice's analytics layer is less mature than dedicated platforms. Organisations with advanced analytics needs will outgrow it, but for teams building their first people analytics practice, it offers strong time-to-value.

Crunchr

Best for: Mid-market organisations (500–5,000 employees) seeking enterprise-grade analytics at a fraction of the enterprise price.

Crunchr delivers workforce planning, attrition analytics, and DEI reporting with a user interface designed for HR professionals rather than data scientists. It connects to major HRIS platforms for data ingestion (PeoplePilot, 2026).

AI capabilities: Predictive workforce models, scenario planning for headcount, and automated report generation with narrative summaries.

Considerations: Smaller vendor with narrower ecosystem integrations than Visier or Workday. Best suited for organisations that want dedicated analytics without enterprise pricing or implementation complexity.

Comparison Table: Five Platforms Head-to-Head

Feature	Visier	Workday PA	Culture Amp	Lattice	Crunchr
Org Size Sweet Spot	5,000+	3,000+ (Workday HCM users)	200–5,000	200–2,000	500–5,000
Generative AI Assistant	✅ (Vee)	✅ (Narrative insights)	✅ (Comment analysis)	⚡ (Emerging)	⚡ (Emerging)
Predictive Attrition	✅	✅	✅	✅	✅
Workforce Planning	✅ (Advanced)	✅ (Integrated)	❌	❌	✅
Engagement Surveys	❌ (Integrates)	❌ (Integrates)	✅ (Core)	✅ (Core)	❌
Performance Management	❌	❌	✅	✅	❌
Data Connectors	75+	Workday ecosystem	40+	20+	30+
Implementation	4–8 months	2–4 weeks	2–6 weeks	2–4 weeks	2–4 weeks
Starting Price	~$50K/year	Bundled with HCM	~$5/employee/month	~$6/employee/month	Custom

Buyer Decision Framework: Five Questions Before You Buy

Use this checklist to narrow your shortlist before vendor demos:

1. What is your data maturity level?

Level 1 (Reactive): You run reports when asked. → Start with HRIS-embedded analytics or an engagement specialist.
Level 2 (Proactive): You have dashboards and track trends. → Mid-market standalone or engagement specialist with analytics add-on.
Level 3 (Strategic): You predict outcomes and model scenarios. → Enterprise pure-play (Visier, One Model).

2. What is your headcount?

Under 500: Engagement specialist (Culture Amp, Lattice) — dedicated analytics platforms are overkill.
500–5,000: Mid-market standalone (Crunchr, PeoplePilot) or engagement specialist with strong analytics.
5,000+: Enterprise pure-play or HRIS-embedded, depending on existing stack.

3. What HCM/HRIS do you already run?

If you are on Workday: Activate Workday People Analytics first — it is already paid for and requires minimal implementation.
If you are on SAP SuccessFactors: Evaluate embedded analytics before procuring standalone tools.
If you run multiple HR systems: Prioritise platforms with broad connector libraries (Visier, Crunchr).

4. Who will use the platform?

Dedicated analytics team: Enterprise pure-play. They need depth, flexibility, and custom modelling.
HR business partners / generalists: Platforms with natural-language insights (Workday PA, Vee on Visier) reduce the analytics skills barrier.
Managers and team leads: Engagement specialists with built-in action recommendations (Culture Amp).

5. What is your budget reality?

Under $25K/year: Engagement specialists or mid-market standalone.
$25K–$75K/year: Mid-market standalone with advanced features or entry-level enterprise.
$75K+/year: Enterprise pure-play with full implementation support.

The Hiring Analytics Entry Point

For teams beginning their people analytics journey, hiring data is often the richest and most immediately actionable dataset. Recruitment generates structured, high-volume data — application rates, screening outcomes, time-to-fill, quality-of-hire indicators — that feeds naturally into broader workforce analytics stacks.

OVI (ovi-me.com) applies people analytics logic to the hiring funnel. Milo, an AI screening agent, scores CVs against configurable rubrics to generate ranked shortlists and structured evaluation data. This hiring intelligence layer — starting at $99/month — produces the kind of consistent, auditable data that makes downstream people analytics platforms more effective. When your HRIS analytics tool asks "what predicts high performance?", the answer often starts with hiring data.

What is the difference between people analytics and HR analytics?

The terms are largely interchangeable in 2026. People analytics traditionally emphasises predictive and prescriptive workforce insights (attrition modelling, workforce planning), while HR analytics may refer more broadly to any data reporting on HR processes. Most enterprise vendors now use 'people analytics' to signal advanced AI-driven capabilities beyond basic HR reporting.

How long does it take to implement a people analytics platform?

Implementation timelines vary significantly by segment. HRIS-embedded analytics (Workday, SAP) can activate in 2-4 weeks since data is already in-system. Engagement specialists (Culture Amp, Lattice) typically deploy in 2-6 weeks. Enterprise pure-play platforms (Visier) require 4-8 months due to multi-system data integration, validation, and custom configuration.

Do we need a dedicated data team to use people analytics software?

Not necessarily. Platforms like Workday People Analytics and Culture Amp are designed for HR generalists, using natural-language narratives and automated insights. Enterprise tools like Visier offer both self-service analytics for business partners and advanced modelling for data teams. Match the platform to your team's analytical maturity rather than hiring ahead of your needs.

What ROI can we expect from people analytics investment?

ROI depends on use case and organisation size. Common measurable outcomes include reduced attrition (predictive models enabling proactive retention interventions), improved workforce planning accuracy (reducing over-hiring and under-hiring costs), and faster identification of skills gaps. The 21% of companies using analytics effectively report stronger alignment between workforce decisions and business outcomes.

How do people analytics platforms handle data privacy and compliance?

Privacy capabilities vary significantly by vendor and deployment model. When evaluating platforms, assess each vendor's specific implementation of role-based access controls, data anonymisation thresholds, GDPR-compliant processing, and audit trail functionality during your procurement process. Request documentation on data residency options, employee consent mechanisms, and compliance certifications relevant to your operating jurisdictions — these differ meaningfully across enterprise and mid-market offerings.