Skip to content

Commit

Permalink
shape up for ai products
Browse files Browse the repository at this point in the history
  • Loading branch information
klausbreyer committed Nov 16, 2023
1 parent b431ec3 commit 670e890
Showing 1 changed file with 45 additions and 0 deletions.
45 changes: 45 additions & 0 deletions content/posts/2023-shape-up-ai-products/index.md
Original file line number Diff line number Diff line change
@@ -0,0 +1,45 @@
---
title: "Shape Up for AI Products: Prototyping while Shaping"
date: 2023-11-16
summary: "Exploring the synergy of shaping and prototyping in AI project management using Shape Up methodology."
categories: ["Product"]
tags: ["AI Development", "Project Management", "Shape Up", "Prototyping"]
---

AI product development, known for its complexities and uncertainties, calls for a robust yet adaptable management approach. Shape Up, with its emphasis on shaping the solution space complemented by prototyping, provides a seamless blend of structure and flexibility. This dual process is pivotal in navigating the unpredictable terrain of AI projects, enhancing the likelihood of success.

## Framing - Laying the Foundation

The journey begins with framing. This initial phase is all about understanding and articulating:

1. **The Problem**: What specific challenge or need is the AI project addressing?
2. **The Context**: What are the environmental, technological, and business contexts in which this problem exists?
3. **The Desired Outcome**: What does success look like for this project? What impact or results are expected?

Framing sets the stage, offering a clear, focused lens through which the entire project is viewed. It helps prevent mission creep and keeps the project aligned with its core objectives.

## Shaping - Crafting the Solution Space

Once the frame is set, shaping takes the helm. This phase involves:

1. **Exploring Solutions**: Brainstorming potential ways to address the framed problem.
2. **Refining Ideas**: Narrowing down the ideas to those most viable and aligned with the project's goals.
3. **Prototyping**: Testing and experimenting with these ideas to see what works and what doesn't in a low-risk environment.

Shaping is where creativity meets pragmatism. It's a time for open-ended exploration, but always within the boundaries set by the framing phase.

## Prototyping: Bridging Shaping and Building

By weaving prototyping into the shaping phase, Shape Up creates a dynamic and responsive environment for AI project development. It allows teams to:

1. **Test Feasibility**: Determine if the ideas generated during shaping are technically and practically feasible.
2. **Gather Early Feedback**: Obtain insights from stakeholders, users, or team members, refining the approach based on this feedback.
3. **Risk Mitigation**: Turn abstract concepts into tangible prototypes, reducing the unknowns and uncertainties inherent in AI development.

Prototyping is not about creating a polished product; it's about learning, experimenting, and adapting.

## Conclusion: A Strategic Approach for AI Projects

Employing Shape Up's methodology of shaping the solution space while prototyping before building a concrete project offers a strategic pathway in AI development. This approach provides a structured yet flexible approach ideal for the dynamic field of AI.

It's a method that doesn't just manage risk; it turns it into an opportunity for innovation and breakthrough.

0 comments on commit 670e890

Please sign in to comment.