『600s in HRTech by RedThread Research』のカバーアート

600s in HRTech by RedThread Research

600s in HRTech by RedThread Research

著者： 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/homeRedThread Research 2026 マネジメント マネジメント・リーダーシップ 経済学
エピソード
  • From People Analytics to AI Workforce Planning: HRBench’s Next Evolution

    From People Analytics to AI Workforce Planning: HRBench’s Next Evolution
    2026/09/17
    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
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    13 分
  • Inside HiBob's $166 Million Bet From Salesforce

    Inside HiBob's $166 Million Bet From Salesforce
    2026/09/15
    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 play
    • HiBob's "system of engagement" model — built for managers and employees, not just HR admins — is its core differentiator against larger HCMs
    • HiBob offers customers two paths for AI agent data access: governed (within HiBob) or open (customer-managed), and recommends the governed path for sensitive data
    • The tension between headless data systems and traditional governed SaaS applications is unresolved — and HiBob is building for both futures at once
    • Strategy timelines have compressed; a clear six-month view now counts as a strong position, and build-vs-buy decisions are increasingly made deal-by-deal
    TIMESTAMPS
    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/
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    20 分
  • Building the Data Layer for Work: TechWolf on Skills Intelligence and AI Agents

    Building the Data Layer for Work: TechWolf on Skills Intelligence and AI Agents
    2026/09/14
    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-research
    • Priyanka Mehrotra on LinkedIn: https://ca.linkedin.com/in/priyankamh
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    14 分
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