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What happens when HR stops guessing and starts predicting with AI and analytics

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Manage episode 514907389 series 3535718
Content provided by Kieran Gilmurray. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Kieran Gilmurray or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

Guesswork is expensive. We dig into how HR and L&D can turn everyday signals—surveys, onboarding chats, training feedback, and attrition patterns—into reliable foresight with the help of AI. The goal isn’t flashy dashboards; it’s fewer surprises, smarter hiring, clearer development paths, and decisions that hold up under pressure.

TL;DR:

  • Why HR data is underused and how AI compresses time to insight
  • The difference between insight and foresight in people analytics
  • When agentic AI helps and when it harms trust
  • Lifecycle touchpoints to capture meaningful signals
  • Asking better questions leads to better decisions
  • Building analytics confidence and skills inside HR and L&D functions

We break down the difference between insight and foresight in plain language, then show how to move from reactive firefighting to proactive planning. You’ll hear a concrete turnover example where simple analytics smoothed recruitment cycles, reduced cost spikes, and protected onboarding quality. We also explore where AI earns its keep: structuring messy qualitative feedback, highlighting hidden drivers across teams and seasons, and shaping the same truth for very different audiences—executives who want scenarios and risk, managers who need timing and actions, and employees who want relevance and growth.
Along the way, we look at agentic AI and digital labour with nuance. Some tasks are perfect for automation; others demand a human touch. We unpack why exit interviews shouldn’t be your only listening point and make the case for onboarding interviews that capture expectations when they’re fresh—and influence the week‑one decision that often sets retention. Finally, we push on the skill that changes everything: asking better questions. When questions improve, data quality rises, insights sharpen, and the organisation gains a calmer operating rhythm.
If you’re ready to trade gut feel for grounded foresight, tune in and take notes. Subscribe for more practical people analytics, share this with a colleague who lives in spreadsheets, and leave a quick review telling us what question you’ll ask your team next.

Exciting New HI for HR and L&D Professionals Course:

Ready to move beyond theory and develop practical AI skills for your HR or L&D role? We're excited to announce our upcoming two-day workshop specifically designed for HR and L&D professionals who want to confidently lead AI implementation in their organizations.

Join us in November at the beautiful MCS Group offices in Belfast for hands-on learning that will transform how you approach AI strategy.

Check here details on how to register for this limited-capacity event - https://kierangilmurray.com/hrevent/ or chat https://calendly.com/kierangilmurray/hrldai-leadership-and-development

Support the show

𝗖𝗼𝗻𝘁𝗮𝗰𝘁 my team and I to get business results, not excuses.
☎️ https://calendly.com/kierangilmurray/results-not-excuses
✉️ [email protected]
🌍 www.KieranGilmurray.com
📘 Kieran Gilmurray | LinkedIn
🦉 X / Twitter: https://twitter.com/KieranGilmurray
📽 YouTube: https://www.youtube.com/@KieranGilmurray
📕 Want to learn more about agentic AI then read my new book on Agentic AI and the Future of Work https://tinyurl.com/MyBooksOnAmazonUK

  continue reading

Chapters

1. Why HR Underuses Data (00:00:00)

2. AI As Analytics Superpower (00:01:40)

3. Insight vs Foresight Explained (00:02:40)

4. Predicting Turnover Patterns (00:03:45)

5. First Steps: Data That Matters (00:05:25)

6. Smarter L&D Measurement (00:06:13)

7. Presenting Insights to Audiences (00:08:00)

8. Agentic Labour Pitfalls & Promise (00:09:45)

9. Onboarding Interviews Over Exit-Only Focus (00:11:20)

10. Lifecycle Data Touchpoints (00:13:20)

11. Week-One Retention Leverage (00:15:05)

12. Adaptive Induction With AI (00:16:35)

154 episodes

Artwork
iconShare
 
Manage episode 514907389 series 3535718
Content provided by Kieran Gilmurray. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Kieran Gilmurray or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

Guesswork is expensive. We dig into how HR and L&D can turn everyday signals—surveys, onboarding chats, training feedback, and attrition patterns—into reliable foresight with the help of AI. The goal isn’t flashy dashboards; it’s fewer surprises, smarter hiring, clearer development paths, and decisions that hold up under pressure.

TL;DR:

  • Why HR data is underused and how AI compresses time to insight
  • The difference between insight and foresight in people analytics
  • When agentic AI helps and when it harms trust
  • Lifecycle touchpoints to capture meaningful signals
  • Asking better questions leads to better decisions
  • Building analytics confidence and skills inside HR and L&D functions

We break down the difference between insight and foresight in plain language, then show how to move from reactive firefighting to proactive planning. You’ll hear a concrete turnover example where simple analytics smoothed recruitment cycles, reduced cost spikes, and protected onboarding quality. We also explore where AI earns its keep: structuring messy qualitative feedback, highlighting hidden drivers across teams and seasons, and shaping the same truth for very different audiences—executives who want scenarios and risk, managers who need timing and actions, and employees who want relevance and growth.
Along the way, we look at agentic AI and digital labour with nuance. Some tasks are perfect for automation; others demand a human touch. We unpack why exit interviews shouldn’t be your only listening point and make the case for onboarding interviews that capture expectations when they’re fresh—and influence the week‑one decision that often sets retention. Finally, we push on the skill that changes everything: asking better questions. When questions improve, data quality rises, insights sharpen, and the organisation gains a calmer operating rhythm.
If you’re ready to trade gut feel for grounded foresight, tune in and take notes. Subscribe for more practical people analytics, share this with a colleague who lives in spreadsheets, and leave a quick review telling us what question you’ll ask your team next.

Exciting New HI for HR and L&D Professionals Course:

Ready to move beyond theory and develop practical AI skills for your HR or L&D role? We're excited to announce our upcoming two-day workshop specifically designed for HR and L&D professionals who want to confidently lead AI implementation in their organizations.

Join us in November at the beautiful MCS Group offices in Belfast for hands-on learning that will transform how you approach AI strategy.

Check here details on how to register for this limited-capacity event - https://kierangilmurray.com/hrevent/ or chat https://calendly.com/kierangilmurray/hrldai-leadership-and-development

Support the show

𝗖𝗼𝗻𝘁𝗮𝗰𝘁 my team and I to get business results, not excuses.
☎️ https://calendly.com/kierangilmurray/results-not-excuses
✉️ [email protected]
🌍 www.KieranGilmurray.com
📘 Kieran Gilmurray | LinkedIn
🦉 X / Twitter: https://twitter.com/KieranGilmurray
📽 YouTube: https://www.youtube.com/@KieranGilmurray
📕 Want to learn more about agentic AI then read my new book on Agentic AI and the Future of Work https://tinyurl.com/MyBooksOnAmazonUK

  continue reading

Chapters

1. Why HR Underuses Data (00:00:00)

2. AI As Analytics Superpower (00:01:40)

3. Insight vs Foresight Explained (00:02:40)

4. Predicting Turnover Patterns (00:03:45)

5. First Steps: Data That Matters (00:05:25)

6. Smarter L&D Measurement (00:06:13)

7. Presenting Insights to Audiences (00:08:00)

8. Agentic Labour Pitfalls & Promise (00:09:45)

9. Onboarding Interviews Over Exit-Only Focus (00:11:20)

10. Lifecycle Data Touchpoints (00:13:20)

11. Week-One Retention Leverage (00:15:05)

12. Adaptive Induction With AI (00:16:35)

154 episodes

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