Lessons from the Therapy for Mgbánwè Journey

By blending product development principles, user experience strategies, Lean methodology, and the Scrum framework, I was able to overcome significant challenges in the creation and distribution of Therapy for Mgbánwè. This approach enabled me to systematically remove impediments, reduce waste, and iterate rapidly, ultimately creating a more refined and accessible product for a diverse audience.

Therapy for Mgbánwè: Weekly Sprints and Customer-Centric Development

Sprint Cycle Outcomes:
Enhanced User Experience: Regular feedback loops enabled the book production and book release teams to adapt the book’s features to better meet the audience’s needs.
Agile Responsiveness: The structured 1-week Sprint approach allowed the book production team to quickly pivot and address emerging challenges without losing momentum.

Barging In vs Being Respectful

Whether it’s through MS Teams, Facebook, WhatsApp, showing up in-person, or phone calls, it’s crucial to respect people’s time instead of interrupting them without notice.

Research by psychologist Gloria Mark shows that it takes 23 minutes to refocus after an interruption, a fact I’ve used when coaching leaders with Scrum teams.

Therapy for Mgbánwè: Problem Identification and Decision-Making Process

Decision-Making Outcomes:
Cognitive Dissonance Management: By finally recognizing the “mental block” as a form of cognitive dissonance, Onyedika broke free from it and moved forward with the product’s release.
Incremental Delivery: This approach allowed for iterative product improvements, reducing waste and creating value for both academic and general readers in subsequent editions.

Why Relying on Velocity and Burndown Charts Can Mislead Management Decisions In All Industries

In the world of Agile development/production, it’s easy to get caught up in metrics like increased velocity and burndown charts. While these numbers can provide insights into team productivity, they shouldn’t overshadow the ultimate goal: delivering working software and high-quality services. Moreover, these metrics can often be misinterpreted, leading to misguided management decisions in both…

Case Study 9: Enhancing Team Self-Management and Collaboration with AI Assistants

In a technology company, a culturally diverse team that was intended to be self-managing struggled under a Subject Matter Expert (SME) who micromanaged team members and criticized their self-management capabilities. After observing the team’s interactions for a month and comparing them with more self-managing teams, Upgrading Self identified the SME’s micromanagement as a critical issue. The introduction of AI assistants as a survey tool provided valuable feedback, which helped coach the SME and significantly improved team collaboration, cultural cohesiveness, productivity, and innovation.