600s in HRTech by RedThread Research

Stacia Garr & Dani Johnson
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600 Seconds in HRTech is for HR leaders who are tired of vendor content that looks like research and want a faster, easier way to stay current.  Hosted by RedThread Research analysts, each episode features a focused conversation with a HRTech leader or product expert, asking the questions buyers actually want answered: What problem does this solve? Who isn't it right for? What did you get wrong before you got it right? What's really behind that acquisition? Then the analyst unpacks it solo. No vendor present. You get what was genuinely useful, what was marketing, and what to push back on in your own evaluations. 600 Seconds in HRTech covers talent platforms, learning technology, people analytics tools, and more. One episode at a time, you build a clearer picture of the landscape without chasing every press release or conference session yourself. Want to be part of the conversation? Join our community for free and connect with others shaping the future of work. Learn more about RedThread Research here: https://redthreadresearch.com/home 

  1. 1d ago

    From People Analytics to AI Workforce Planning: HRBench’s Next Evolution

    How can HR leaders use AI and workforce data to make better decisions about the future of their organizations?  In this episode of 600 Seconds in HRTech, Priyanka Mehrotra, Senior Analyst at RedThread Research, sits down with John Barry, Co-CEO and Co-Founder of HRBench, to discuss how AI is changing people analytics, skills intelligence, and workforce planning.  They explore how HRBench customers are using AI to interact with workforce data, why skills are becoming essential to workforce planning, and how organizations can begin mapping where AI augments or replaces human work.  QUESTIONS ANSWERED  How are HRBench customers using AI with workforce data?  Some early adopting customers are using AI assistants such as Claude to access HRBench data and ask questions about turnover, trends, and future workforce projections. John says adoption varies significantly, with many organizations still figuring out how they want to use AI within HR.  Why are skills becoming critical to workforce planning?  HRBench is connecting skills taxonomies with job architecture to help organizations understand the skills and tasks within their workforce. This gives HR leaders a stronger data foundation for identifying where AI can augment work and planning what skills and resources they will need in the future.  How can organizations account for AI in workforce planning?  HRBench can represent AI either as its own resource within an organizational chart or as something augmenting an existing employee. This allows organizations to visualise where AI is already being used and plan where it could play a greater role across the workforce.  TIMESTAMPS  00:00 – Introduction to John Barry and HRBench  01:13 – Connecting workforce data with AI assistants 02:12 – AI workforce transformation and HR’s opportunity  03:37 – Mapping skills and tasks to AI opportunities  05:18 – Skills and workforce planning  06:25 – Representing AI within the organizational chart  08:59 – Priyanka’s reflection on the conversation  RESOURCES & LINKS  Connect With HRBench  HRBench Official Website: https://www.hrbench.com/ John Barry on LinkedIn: https://www.linkedin.com/in/john-barry-615804/  Connect with RedThread Research RedThread Research Official Website: https://redthreadresearch.com/ RedThread Research on LinkedIn: https://www.linkedin.com/company/redthread-research Priyanka Mehrotra on LinkedIn: https://ca.linkedin.com/in/priyankamh

  2. 3d ago

    Inside HiBob's $166 Million Bet From Salesforce

    In this episode of 600 Seconds in HRTech, Stacia Garr sits down with Ronni Zehavi, CEO and co-founder of HiBob, to unpack Salesforce's $166 million strategic investment in the company and what it signals about the future of people data in an AI-driven HR market. Salesforce's investment in HiBob is a bet on people data as the context layer every AI agent needs — and HiBob is positioning itself to serve both a governed, in-platform future and a headless, data-flows-everywhere future at once. The conversation covers why Salesforce chose HiBob specifically, what makes HiBob's "system of engagement" approach different from traditional HCMs, how HiBob is thinking about data permissioning for AI agents, and why build-versus-buy decisions are getting faster in the AI era. As Ronni puts it, "There is only one Salesforce on the planet" — and the deal is as much a market signal as it is capital. QUESTIONS ANSWERED Why did HiBob take Salesforce's investment? HiBob took the investment because it shares Salesforce's vision of humans and AI agents working side by side, and because the two companies had already proven they could integrate quickly — their Slack bot integration took just three weeks to build on a foundation both sides had already invested in. What is Salesforce getting out of the HiBob deal? Salesforce is building an ecosystem around data and context, and Ronni argues people data underlies nearly every prompt or question run through an AI model — making HiBob's people data a valuable piece of that ecosystem. What makes HiBob's data more valuable than other HCMs like Workday, SAP, or ServiceNow? HiBob was built as a "system of engagement" rather than a system built primarily for HR administrators. Its platform is designed for managers and employees too, which drives higher engagement, more data creation, and more useful context for AI agents. HiBob also focuses on mid-market to SMB companies, a segment with different scaling needs than enterprise. How does HiBob handle data permissioning for AI agents? HiBob gives customers two options: extract their data to use with any AI model (with the customer taking on security, privacy, and retention obligations), or run analysis through HiBob's own studio or trusted integrations like Slackbot, where HiBob's governance applies. HiBob recommends the governed path, especially for sensitive HR data. How is AI changing build-versus-buy decisions in HR tech? Because building is faster and cheaper than ever, companies are now debating build-versus-buy on nearly every product decision — but Ronni notes that acquiring a team with real market experience and domain expertise still often beats building from scratch. KEY TAKEAWAYS Salesforce's investment in HiBob is fundamentally a data and context play, not just a capital playHiBob's "system of engagement" model — built for managers and employees, not just HR admins — is its core differentiator against larger HCMsHiBob offers customers two paths for AI agent data access: governed (within HiBob) or open (customer-managed), and recommends the governed path for sensitive dataThe tension between headless data systems and traditional governed SaaS applications is unresolved — and HiBob is building for both futures at onceStrategy timelines have compressed; a clear six-month view now counts as a strong position, and build-vs-buy decisions are increasingly made deal-by-dealTIMESTAMPS  00:00 – Introduction: Salesforce's $166M investment in HiBob  01:00 – Why HiBob took the strategic investment, and why from Salesforce  03:00 – What Salesforce gets out of the deal  05:00 – What makes HiBob's context more valuable than other HCMs  08:00 – How HiBob thinks about data permissioning for AI agents  11:00 – The headless systems tension vs. traditional SaaS  15:00 – Stacia's analysis RESOURCES & LINKS Connect with HiBob HiBob Official Website: https://www.hibob.com/Ronni Zehavi on LinkedIn: https://www.linkedin.com/in/ronnizehavi/ Connect with RedThread Research RedThread Research Official Website: https://redthreadresearch.com/RedThread Research on LinkedIn: https://www.linkedin.com/company/redthread-research/Stacia Garr on LinkedIn: https://www.linkedin.com/in/staciashermangarr/

    Inside HiBob's $166 Million Bet From Salesforce

  3. 4d ago

    Building the Data Layer for Work: TechWolf on Skills Intelligence and AI Agents

    How can organizations turn workforce data into usable, actionable insights? In this episode of 600 Seconds in HRTech, Priyanka Mehrotra, Senior Analyst at RedThread Research, sits down with Bill Bokoff, Enterprise Customer Success at TechWolf, to explore how skills intelligence, workforce data, and AI agents are changing talent decisions. They discuss how TechWolf identifies and validates employee skills, why its technology integrates directly into existing HR systems, and how AI agents could make workforce insights more accessible across organizations. QUESTIONS ANSWERED How does TechWolf approach skills intelligence? TechWolf connects data about the skills employees have today with the skills organizations will need in the future. It can also use workplace activity to help infer and validate how employees are applying those skills in practice. How does TechWolf fit into an existing HR tech stack? TechWolf takes a “headless” approach, integrating its workforce intelligence into systems such as Workday, SAP, ServiceNow, Slack, and Microsoft Teams rather than requiring employees to adopt another standalone platform. What could AI agents mean for workforce analytics? TechWolf’s analyst agent is designed to make workforce insights easier to access without relying on people analytics teams to manually pull every answer. Priyanka highlights the importance of accountability, context, and connecting AI-generated insights with the actions and outcomes that follow. TIMESTAMPS 00:00 – Introduction to Bill Bokoff and TechWolf 00:50 – Why workforce data is becoming strategic infrastructure 02:16 – TechWolf’s approach to skills intelligence 03:11 – Measuring skills proficiency through workplace data 03:59 – TechWolf’s headless approach to HR technology 05:56 – Introducing TechWolf’s analyst agent 08:57 – Priyanka’s reflection on TechWolf 10:32 – Accountability and AI agents 11:50 – Connecting insights to actions and outcomes 12:18 – Labor market data and workforce strategy RESOURCES & LINKS Connect with TechWolf TechWolf Official Website: https://www.techwolf.ai/Bill Bokoff on LinkedIn: https://www.linkedin.com/in/billbokoff Connect with RedThread RedThread Research: https://redthreadresearch.com/RedThread Research on LinkedIn: https://www.linkedin.com/company/redthread-researchPriyanka Mehrotra on LinkedIn: https://ca.linkedin.com/in/priyankamh

  4. Sep 11

    Inside UKG's Push for Cross-System Agent Orchestration

    In this episode of 600 Seconds in HRTech, Priyanka Mehrotra sits down with Jay Henderson, GVP of Products at UKG, live from the RedThread Research Summit at Snowbird, Utah, to talk through two of UKG's newest releases — Workforce Intelligence Hub and Dynamic Workforce Operations — and what agent-to-agent orchestration means for the future of HRTech. The conversation covers why UKG is betting on cross-system AI coordination, how real-time data is reshaping workforce planning, and why a unified data layer might be the real differentiator in an increasingly crowded AI market. As Jay puts it, "having a strong foundational data layer really allows for the AI to produce more interesting and better results." QUESTIONS ANSWERED What is UKG's Workforce Intelligence Hub? It's a repository that brings HR, pay, and workforce data together in one place, layered with reporting and industry benchmarking, so companies can see how they compare to peers and turn that insight into action. What is Dynamic Workforce Operations? A system that takes a company's existing labor plan and adjusts it in real time as conditions change — for example, shifting staff from outdoor to indoor roles when weather changes. It feeds in live data, recommends adjustments, and lets teams implement them on the spot. How is UKG approaching agent orchestration? Rather than just building more agent capabilities inside its own platform, UKG is focused on getting its agents to communicate directly with third-party agents (like ITSM systems) and with larger orchestration platforms from Microsoft and Google — aiming for end-to-end processes like onboarding without manual handoffs between tools. What's coming with Bright 2.0? UKG's next AI release includes faster response times, better memory management, and a voice-first interface for frontline workers — including integrations with Siri and Google Actions so employees can clock in, check PTO, or request time off without opening the app. How does UKG differentiate its AI from competitors? Jay points to the combined HR, pay, and workforce data foundation — including data pulled from third-party systems — as the core differentiator, since stronger underlying data lets UKG fine-tune frontier models for better results. KEY TAKEAWAYS UKG is investing heavily in agent-to-agent orchestration across vendors, not just within its own platformDynamic Workforce Operations shifts workforce planning from a static, periodic process to a real-time, self-adjusting oneBright 2.0 introduces voice-first capabilities built specifically for frontline, deskless workersA unified, cross-system data layer is positioned as UKG's key AI differentiatorData is increasingly treated as strategic infrastructure — a core theme from RedThread's 2026 Megatrends research TIMESTAMPS 00:07 – Introduction to Jay Henderson and UKG 00:38 – Workforce Intelligence Hub: bringing HR, pay, and workforce data together 01:22 – Dynamic Workforce Operations and real-time labor adjustments 02:41 – UKG’s focus on agent orchestration across systems 03:40 – Bright 2.0: faster responses, memory management, and agent coordination 04:18 – Voice-first tools for frontline workers 06:09 – How UKG differentiates its AI approach through unified data 07:50 – Why data is becoming strategic infrastructure 08:35 – Reflections on cross-vendor agent orchestration 09:39 – Workforce planning that responds to real-time conditions 10:30 – The importance of a shared data model beyond UKG 11:17 – Three takeaways: connected agents, dynamic planning, and broader data infrastructure RESOURCES & LINKS UKG Official Website: https://www.ukg.com Jay Henderson on LinkedIn: https://www.linkedin.com/in/hendersonjay/ CONNECT WITH REDTHREAD RESEARCH RedThread Research Official Website: https://redthreadresearch.com/ RedThread Research on LinkedIn: https://www.linkedin.com/company/redthread-research/ Priyanka Mehrotra on LinkedIn: https://www.linkedin.com/in/priyanka-mehrotra-9ab2574/

    Inside UKG's Push for Cross-System Agent Orchestration

  5. Sep 10

    AI, Employee Feedback, and the Limits of LLMs: What Perceptyx’s PYX Labs Reveals

    How well can large language models interpret employee feedback, and what does this mean for HR and people analytics leaders?  In this episode of 600 Seconds in HRTech, Stacia Garr sits down with Joseph Freed, Chief Product Officer at Perceptyx, to discuss PYX Labs, a public benchmark designed to evaluate how well large language models interpret employee experience data.  The conversation explores how organizations are using tools such as ChatGPT, Claude, and Microsoft Copilot to analyze employee listening data, and how effectively these models can identify themes, interpret employee sentiment, and recommend actions for leaders. Stacia and Joe also take a closer look at what this means for the roles of people analytics professionals in the future.  QUESTIONS ANSWERED How well do large language models analyze employee feedback?  LLMs can perform well when retrieving information and identifying common employee experience themes such as well-being and performance management.  The discussion also examines how models handle themes that are specific to an individual organization, including areas such as change management and future vision. Organizational context can play an important role in interpreting this type of employee feedback.  Can AI turn employee listening insights into action?  The episode explores what Joseph describes as the “insight to action gap.”  PYX Labs tested whether AI could take employee experience findings and recommend what leaders should do next. The discussion highlights the importance of behavioral science, organizational context, and expert judgment when translating employee feedback into recommendations.  How can AI change the role of people analytics professionals? AI can give people analytics professionals new ways to explore employee data, ask questions, and investigate patterns across different datasets.  This creates opportunities for HR and people analytics experts to spend more time interpreting complex findings, connecting information across employee listening programs, and helping organizations determine appropriate actions.  TIMESTAMPS 00:00 – Introduction to Joseph Freed and PYX Labs  01:22 – Why Perceptyx created PYX Labs  03:36 – The criteria used to evaluate LLM performance  04:58 – Where AI performs well: common employee experience themes 06:00 – Where AI struggles: organization-specific themes  07:22 – How the PYX Labs benchmark works  10:54 – Testing AI's ability to move from insight to action  12:00 – Why AI struggles to connect the dots across employee datasets 14:50 – Advice for HR leaders using LLMs with employee data  16:28 – Stacia’s Analysis  RESOURCES & LINKS  Learn more about Perceptyx Perceptyx Official Website: https://www.perceptyx.com/  Joseph Freed on LinkedIn: https://www.linkedin.com/in/joefreed/ Connect with RedThread Research RedThread Research Official Website: https://redthreadresearch.com/     RedThread Research on LinkedIn: https://www.linkedin.com/company/redthread-research/   Stacia Garr on LinkedIn: https://www.linkedin.com/in/staciashermangarr/

  6. Aug 27

    Tasks Intelligence: A New Layer of Workforce Intelligence with Fuel50

    How is AI changing work at the task level, and what does that mean for workforce planning, skills development, and the future of work?  In this episode of 600 Seconds in HRTech, Divya Iyer, Senior Analyst at RedThread Research, sits down with Anne Fulton, CEO and founder of Fuel50, at the RedThread Summit in Snowbird, Utah, to discuss Fuel50’s latest approach to workforce intelligence and the launch of its Task Intelligence capability.  The conversation explores why tasks are becoming an important new layer of workforce data, how organizations can identify which tasks should be automated or augmented, and why connecting tasks, skill, people, and job intelligence can help leaders make better decisions about AI adoption and workforce transformation.  QUESTIONS ANSWERED  What is Fuel50’s Task Intelligence?  Fuel50’s Task Intelligence is a new layer of its workforce intelligence platform that sits alongside its existing people, skills, and job intelligence capabilities.  The approach focuses on how AI is changing work at the task level. It helps organizations understand which tasks can be automated, where human effort can be augmented, and which activities remain strategically human.  How can organizations help employees adapt to AI-driven change?  Fuel50's approach emphasizes bringing employees into the transformation journey rather than treating AI adoption as something that happens solely at the organizational level.  Employees can gain visibility into how their roles and tasks are evolving, what skills they will need, which skills they currently lack, and what learning or development activities can help them prepare for the future.  Can mentoring and development activities be connected to business outcomes? According to Anne, Fuel50 has seen a strong correlation between mentoring and outcomes such as promotion rates, lateral mobility, internal mobility, and skill acquisition.  The goal is to give HR and business leaders greater visibility into which development activities are actually moving the needle, rather than simply measuring participation in learning programs.  TIMESTAMPS  00:00 – Introduction to Anne Fulton and Fuel50  00:38 – Fuel50 introduces Task Intelligence  01:20 – Why tasks are the new atomic unit of work  02:10 – Using task intelligence to understand workforce transformation  03:16 – Fuel50’s Predictive Skills model  04:35 – How mentoring, mobility, and skill acquisition connect  05:27 – Who gets access to workforce intelligence?  06:33 – Fuel50’s approach to AI  08:36 – Creating futures for employees through AI transformation  09:31 – Divya’s analysis  RESOURCES & LINKS Learn More About Fuel50 Fuel50 Official Website: https://fuel50.com/ Anne Fulton on LinkedIn: https://www.linkedin.com/in/annefultonfuel50/ Connect with RedThread Research  RedThread Research Official Website: https://redthreadresearch.com/  RedThread Research on LinkedIn: https://www.linkedin.com/company/redthread-research/ Divya Iyer on LinkedIn: https://www.linkedin.com/in/divya-iyer-63813214

  7. Aug 20

    The Future of Strategic Workforce Planning: LYTIQS’s AI-Powered Approach

    How is AI changing strategic workforce planning, and what does it mean for how organizations design work? In this episode of 600 Seconds in HRTech, Stacia Garr sits down with Marcus Mossberger, Chief Market Strategy Officer at LYTIQS, to explore how AI is changing strategic workforce planning and why organizations need to move beyond traditional annual headcount planning. The conversation explores LYTIQS’s IQ Assist, an AI-enabled human-guided workforce planning accelerator designed to turn a traditionally months-long process into a starting point in minutes. Marcus explains how the technology brings together workforce, financial, and operational data, while keeping humans at the helm of the planning process. They also discuss why workforce planning needs to connect business strategy with technology strategy, how validated skills and task-level analysis could change the way organizations think about jobs, and why HR may need to take greater ownership of work redesign as AI changes how work gets done. As Marcus puts it, the goal is no longer simply to be “right” about the future. It is to be ready for it. QUESTIONS ANSWERED Why is strategic workforce planning shifting from being right to being ready? Marcus argues that organizations can no longer reliably predict the future well enough to build a single “right” workforce plan. Instead, workforce planning needs to account for multiple possible scenarios and help organizations adapt as conditions change. He suggests that organizations should track scenarios at least quarterly, and potentially monthly, rather than relying solely on annual planning cycles. How should workforce strategy connect with technology strategy? As AI and automation change which tasks require human workers, workforce strategy can no longer operate separately from technology strategy. Marcus highlights the need for HR, IT, and Finance to work together when deciding how work should be performed and how organizations should structure their workforce. Who should own work redesign? The conversation argues that work redesign is becoming an important opportunity for HR. As AI changes how tasks are performed, HR may need to take greater responsibility for deciding how work is recombined and how humans and technology should work together, while collaborating closely with Finance and IT. TIMESTAMPS 00:00 – Introduction to strategic workforce planning and LYTIQS 03:33 – How AI accelerates workforce planning 04:29 – Connecting workforce planning to business strategy 05:07 – Why workforce strategy also needs to connect to technology strategy 06:53 – Moving from manual planning to AI-assisted workforce planning 11:34 – Validated skills and AI-driven skills assessment 13:24 – Who owns work redesign? 14:45 – Stacia’s reflections on the conversation RESOURCES & LINKS Learn More About LYTIQS LYTIQS Official Website: https://www.lytiqs.com/home Marcus Mossberger on LinkedIn: https://www.linkedin.com/in/mmossberger/ Connect with RedThread Research  RedThread Research Official Website: https://redthreadresearch.com/  RedThread Research on LinkedIn: https://www.linkedin.com/company/redthread-research/ Stacia Garr on LinkedIn: https://www.linkedin.com/in/staciashermangarr/

  8. Aug 18

    From Global Labor Market Data to AI-Ready Workforce Intelligence: Lightcast’s Next Move

    How can organizations make better workforce decisions when labor market data is fragmented across countries, industries, and data sources? In this episode of 600 Seconds in HRTech, Divya Iyer sits down with Mark Hanson of Lightcast to discuss how the company is expanding its global labor market intelligence, strengthening its skills data capabilities, and helping organizations turn workforce data into action. Mark also discusses Lightcast’s consulting capabilities, its recent acquisitions of Simply and Skill Collective, and the growing need for organizations to move beyond building skills data foundations toward actually using that data in their skills transformation journeys. QUESTIONS ANSWERED How does Lightcast assess the quality and reliability of labor market data? For organizations making workforce and people decisions, knowing how reliable the underlying data is can be just as important as having access to the data itself. Lightcast provides transparency around its coverage and data quality, helping customers understand where its datasets are strongest and where there may be limitations. Mark argues that being clear about those limitations can build greater trust than providing blanket assurances about data quality. Why does skills data need to be connected to action? Building a skills data foundation is only one part of becoming a skills-based organization. The next challenge is understanding how that data can inform real workforce decisions and transformation initiatives.  The conversation highlights the growing role of vendors like Lightcast in helping organizations move from data collection and technology implementation toward practical application and skills transformation. Why does transparency matter when organizations use workforce data? As organizations increasingly rely on external data to inform workforce decisions, understanding the limitations of that data becomes critical.  Lightcast's approach of being transparent about where its data is strong can help organizations make more informed decisions about where to invest, where to manage risk, and when they may need additional evidence before acting. TIMESTAMPS 00:00 – Introduction to Lightcast and its global labor market data 00:55 – Expanding Lightcast's data coverage to 165 countries 02:12 – Understanding data coverage and reliability 03:07 – Why transparency matters for workforce decisions 04:15 – Lightcast's consulting and skills transformation capabilities 05:46 – Why organizations need support beyond building skills data foundations 07:35 – The changing role of HR tech vendors 08:37 – Divya’s Analysis RESOURCES & LINKS Learn More About Lightcast Lightcast Official Website: https://lightcast.io/ Mark Hanson on LinkedIn: https://www.linkedin.com/in/markhhanson/  Connect with RedThread Research  RedThread Research Official Website: https://redthreadresearch.com/ RedThread Research on LinkedIn: https://www.linkedin.com/company/redthread-research/ Divya Iyer on LinkedIn: https://www.linkedin.com/in/divya-iyer-63813214

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600 Seconds in HRTech is for HR leaders who are tired of vendor content that looks like research and want a faster, easier way to stay current.  Hosted by RedThread Research analysts, each episode features a focused conversation with a HRTech leader or product expert, asking the questions buyers actually want answered: What problem does this solve? Who isn't it right for? What did you get wrong before you got it right? What's really behind that acquisition? Then the analyst unpacks it solo. No vendor present. You get what was genuinely useful, what was marketing, and what to push back on in your own evaluations. 600 Seconds in HRTech covers talent platforms, learning technology, people analytics tools, and more. One episode at a time, you build a clearer picture of the landscape without chasing every press release or conference session yourself. Want to be part of the conversation? Join our community for free and connect with others shaping the future of work. Learn more about RedThread Research here: https://redthreadresearch.com/home 

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