Experiencing Data w/ Brian T. O’Neill (UX for AI Data Products, SAAS Analytics, Data Product Management)
124 - The PiCAA Framework: My Method to Generate ML/AI Use Cases from a UX Perspective
Podcast summary created with Snipd AI
Quick takeaways
- The Pika framework helps generate AI use cases by combining verbs with 'how might we' to spark ideas, emphasizing the importance of understanding business objectives and involving cross-functional teams in ideation workshops.
- Before implementing the Pika framework, it is crucial to consider the human perspective, including users' pain points and biases, focusing on generating a high volume of ideas without judgment, and prioritizing small AI wins and human decision-making.
Deep dives
The Pika framework: A creative exercise for AI use cases
In this podcast episode, the host introduces the Pika framework, which is a creative exercise for imagining AI use cases within a business or product. The framework consists of a collection of verbs combined with the sentence 'how might we' to generate potential ideas. The framework includes verbs such as predict, classify, automate, and augment. The host emphasizes the importance of understanding the business objectives and involving cross-functional teams in ideation workshops or design jams. The goal of the workshop is to generate a large volume of ideas, not necessarily focusing on feasibility or implementation at this stage. Additionally, the framework highlights the value of considering human factors and the potential impact of AI solutions.
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