ReThink Productivity Podcast
Join Simon Hedaux, founder of ReThink Productivity, as he and a focused network of industry leaders and clients share a new playbook for organizational excellence
This is the essential podcast for leaders looking to drive measurable, sustainable performance across corporate, operational, and customer-facing teams
With our new 2.0 approach, we’ve shifted to a highly focused rhythm, delivering two essential episodes per month—giving you less noise and more strategic intelligence
Inside Every Month, You’ll Discover:
1. The Productivity Pulse (Early Month)
- Data-Driven Action: Hear directly from our internal experts—Sue, Simon, and James—who share real-world trends, new data findings, and actionable productivity insights emerging from live projects
- Align & Engage Your Teams: Discover practical ways to connect head office goals with on-the-ground execution, ensuring everyone is pulling in the same direction
- Learn from Real-World Wins: Get tactical advice and success stories from organisations that have achieved transformative productivity across the board
2. Basket & Barometer (Late Month)
- Elevated Insights: In conversation with industry expert Diane Wehrle to move beyond surface-level metrics and tackle complex, data-driven metrics around customer shopping behaviour
For leaders in Operations, Strategy, and HR, this podcast provides the modern tools to build a smarter, more efficient, and ultimately more profitable business
Subscribe now and start truly rethinking your productivity
ReThink Productivity Podcast
ReThink & REPL - Labour Standards
The first in a series of 7 Podcasts with our friends at REPL. We will be covering all the components parts of Workforce Management (WFM), along with a look at what the future holds
In this first episode, we are joined by Pip Trenaman, Doug Roberston and Zach Owston to discuss Labour Standards. We cover...
How do you balance detail of measurement V simplicity of labour standards for a Labour Model?
Can you have a 'standard' approach in a global organisation?
Modifiers
Big data and 'What If' analysis
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