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Breaking Free from Performance Traps - Radhika Dutt

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Manage episode 505163343 series 2808139
Content provided by The Incongruables. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by The Incongruables 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.

Spill the tea - we want to hear from you!

Radhika Dutt challenges traditional goal-setting frameworks and introduces OHLs (Objectives, Hypotheses, and Learnings) as a more effective alternative for today's knowledge workers who are solving complex puzzles rather than performing repetitive tasks.
• Goals and targets originated in the 1940s for unskilled, unionized workers doing repetitive tasks
• Today's workforce needs a puzzle-solving mindset rather than target-hitting approach
• AI accelerates "enshittification" by optimizing metrics while hiding negative consequences
• OHLs framework asks: How well is it working? What have we learned? What are we doing next?
• Even middle managers can start implementing OHLs by reframing their own work as puzzle-solving
• Successful organizations create cultures of psychological safety where honest discussions about successes and failures can occur
• Intel's success came from Andy Grove's "paranoid obsession with never getting complacent," not just OKRs
• The OHLs template is available at radicalproduct.com
Radhika invites listeners to reach out to her on LinkedIn and share their experiences implementing OHLs, as she's currently writing her second book and looking for case studies.

  continue reading

Chapters

1. Introducing Radhika Dutt (00:00:00)

2. Product Diseases and Innovation Challenges (00:03:20)

3. AI and the Deliberate Vision Problem (00:05:45)

4. Enshittification: How AI Speeds Decline (00:10:15)

5. From OKRs to OHLs Framework (00:14:01)

6. Building Psychological Safety Culture (00:18:35)

7. Practical Steps for Middle Managers (00:25:45)

78 episodes

Artwork
iconShare
 
Manage episode 505163343 series 2808139
Content provided by The Incongruables. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by The Incongruables 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.

Spill the tea - we want to hear from you!

Radhika Dutt challenges traditional goal-setting frameworks and introduces OHLs (Objectives, Hypotheses, and Learnings) as a more effective alternative for today's knowledge workers who are solving complex puzzles rather than performing repetitive tasks.
• Goals and targets originated in the 1940s for unskilled, unionized workers doing repetitive tasks
• Today's workforce needs a puzzle-solving mindset rather than target-hitting approach
• AI accelerates "enshittification" by optimizing metrics while hiding negative consequences
• OHLs framework asks: How well is it working? What have we learned? What are we doing next?
• Even middle managers can start implementing OHLs by reframing their own work as puzzle-solving
• Successful organizations create cultures of psychological safety where honest discussions about successes and failures can occur
• Intel's success came from Andy Grove's "paranoid obsession with never getting complacent," not just OKRs
• The OHLs template is available at radicalproduct.com
Radhika invites listeners to reach out to her on LinkedIn and share their experiences implementing OHLs, as she's currently writing her second book and looking for case studies.

  continue reading

Chapters

1. Introducing Radhika Dutt (00:00:00)

2. Product Diseases and Innovation Challenges (00:03:20)

3. AI and the Deliberate Vision Problem (00:05:45)

4. Enshittification: How AI Speeds Decline (00:10:15)

5. From OKRs to OHLs Framework (00:14:01)

6. Building Psychological Safety Culture (00:18:35)

7. Practical Steps for Middle Managers (00:25:45)

78 episodes

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