Jay Z Retrospective 🎧🎶🎙️

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This Jay-Z Discography Agile Template is designed for product and project managers to streamline project planning and execution. Inspired by Jay-Z's prolific career, this template helps teams hit the right notes in their workflow.

How to Use This Template:

  1. Preparation

    • Ensure all team members have access to the retrospective board, whether physical or digital.

    • Familiarize yourself with the Jay Z themed prompts and prepare any necessary materials, such as Grammy icons or All Star tokens.

  2. Introduction

    • Welcome the team and introduce the Jay Z theme to set the tone.

    • Explain the purpose of the retrospective and the structure of the session.

  3. Grammy Icon Rating

    • Ask team members to use Grammy icons to express their thoughts and feelings about the last iteration.

    • Collect and discuss the ratings as a team to gauge overall sentiment.

  4. Discussion Prompts

    • Work through each themed section: "99 Problems," "Brooklyn, We Back on the Map," "Money Ain't a Thing," "The Blueprint," "Threat," "Public Service Announcement," "Reasonable Doubt," and "Five Star Collabs."

    • Encourage open discussion and record key points on sticky notes or a digital board.

  5. Dot Voting

    • Distribute All Star tokens and have team members vote on the tickets they believe will drive the most improvement.

    • Prioritize these items for action in the next sprint.

  6. Rate the Retro

    • Conclude the session by having team members rate the retrospective using Grammy icons, from Gold (poor time investment) to Diamond (highly productive).

    • Discuss feedback and identify ways to enhance future retrospectives.

By following these steps, teams can effectively utilize the Jay Z themed retrospective template to foster a culture of continuous improvement and collaboration.

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Dave Westgarth image
Dave Westgarth
Digital Delivery Manager@BJSS
Dave Westgarth is currently working as a Delivery Manager @ BJSS. He serves on software development, automation, cloud and AI/ ML projects across the spectrum of delivery approaches.
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