Episode 30, Part 2 - Benne Peto: How to Assess Potential Properly with Data

Episode 30, Part 2 - Benne Peto: How to Assess Potential Properly with Data

Part 2 with Benne Peto gets under the bonnet of the model: how to assess potential rigorously, why the nine-box grid falls short, and how psychometrics plus observation reveal the real “sweet spot” for sustained performance. It is the most practical section for leaders trying to move from intuition to evidence in talent decisions.

Episode 30, Part 1 - Benne Peto: Why Generic Development Programs Aren't Sustainable

Benne Peto opens with her commercial-to-HR journey and explains why growth-focused people strategy starts with business outcomes, not learning activity. The conversation then lands on the core argument: one-size-fits-all development is expensive theatre unless it is targeted at the people and capabilities most likely to shift performance.

Episode 29, Part 2 - Lucy Houlding (Vanguard): Leadership, Decision‑Making and Growing People

This episode looks at leadership, how you should show up to work every day, and how you should evolve as your organization does. Vanguard's Lucy Houlding reflects on the realities of leading teams in high‑performance environments, from decision‑making under uncertainty to balancing empathy with accountability.

Episode 29, Part 1 - Lucy Houlding: Building Trust, Simplicity and Long‑Term Growth

Lucy Houlding from Vanguard Asset Management shares her story, from working in Chile to the UK, exploring Vanguard’s approach to value & communication, and Lucy’s own lessons with scrutiny and change. This episode is all about understanding how strong cultures and clear purpose enable growth that lasts.

Episode 28, Part 2 - Rory Brown: Turning Forecast Insights into Rep-Level Action with AI

Part 2 of our episode with Kluster's Rory Brown gets practical: Rory and Jonny Adams walk through a hypothetical joint client and show how Kluster’s quantitative insight pairs with SBR’s enablement to close performance gaps. Rory breaks down leading vs lagging indicators, why “sheep dip” KPIs fail, and how to reverse-engineer every rep’s route to quota. The episode closes with Rory’s grounded view on AI: fix the data context first, then unlock trusted natural-language answers and predictive actions.