App Concept & Feature Ideation via Prompting

Guide learners to ideate and define a shared collaborative knowledge management web app using AI-driven prompting techniques.

Intro

This group helps learners use natural language prompts in Codeex with GPT 5.5 to formulate a clear concept, user stories, and critical feature set for a Shared Brain application—a collaborative tool for managing ideas visually among teams.

Cards in group

Defining the App's Core Purpose with AI Prompting

Unlock the essence of your collaborative app through targeted AI prompts.

This card covers the ideation stage focused on defining the app's core purpose using AI prompting techniques with Codeex and GPT 5.5. It does not cover the detailed UI/UX design, backend implementation, or deployment stages of app development.

Learners will gain the ability to craft precise natural language prompts that articulate and clarify the core purpose and goals of a shared, visual collaborative knowledge management web app.

Steps

  1. Understand the concept of a Shared Brain app as a collaborative, multi-user knowledge mapping tool.
  2. Review capabilities of GPT 5.5 and Codeex in generating detailed natural language prompts.
  3. Formulate specific questions or prompts to explore the app’s main goals, user needs, and visual collaboration features.
  4. Iterate prompt designs to ensure clarity, scope, and depth in exploring the app’s purpose.
  5. Test prompts with GPT 5.5 to generate comprehensive descriptions of the app’s core purpose.
  6. Analyze generated outputs and refine prompts to improve relevance and focus.
  7. Document the final set of robust prompts that define the app’s core purpose.
  8. Summarize insights gained through this AI prompting approach to inform subsequent ideation and development phases.
Materials: https://openai.com/research/gpt-5-5, https://docs.codeex.com/prompt-engineering, Example 2 from the provided source material on Shared Brain collaborative knowledge management app
30 minDifficulty: intermediateDomains: software development, collaborative knowledge management, AI prompting, product ideation

Formulating User Stories for Collaborative Idea Management

Transform user needs into clear, actionable stories with AI guidance.

This card focuses on drafting user stories using AI prompting techniques specifically for collaborative idea management features; it does not cover detailed technical implementation or UI design aspects.

Learners will gain the ability to craft detailed user stories that encompass multiple user roles and critical actions—capturing ideas, enriching metadata, connecting concepts, and inviting collaborators—to drive effective feature development.

Steps

  1. Understand the key user roles involved in the app (e.g., idea contributor, metadata editor, collaborator).
  2. Identify primary user actions such as capturing ideas, enriching metadata, visually connecting concepts, and inviting collaborators.
  3. Learn how to design AI prompts that elicit comprehensive user narratives framing these actions and roles.
  4. Use AI to generate initial user stories based on these prompts.
  5. Refine and iterate the user stories for clarity, completeness, and alignment with project goals.
  6. Organize the user stories into a format that guides collaborative feature development.
Materials: https://www.agilealliance.org/glossary/user-story/, https://www.interaction-design.org/literature/article/user-stories-how-to-use-them-for-ux-design, https://miro.com/guides/agile/user-story-mapping/
40 minDifficulty: intermediateDomains: software development, product management, user experience, collaborative knowledge management

Brainstorming Key Features Through Prompt-Driven Conversation

Harness AI dialogues to shape your app’s essential functionalities.

This card focuses on the methodology of feature ideation using AI prompting in Codeex; it does not cover detailed technical implementation, coding practices, or UI design specifics beyond feature conceptualization.

Learners will gain the ability to conduct iterative, prompt-driven discussions with AI agents in Codeex to identify, prioritize, and refine critical features of a collaborative knowledge management web app.

Steps

  1. Initiate a session with the AI agent in Codeex dedicated to feature ideation.
  2. Use open-ended prompts to explore broad feature categories relevant to collaborative knowledge management apps.
  3. Iteratively narrow down and specify features such as idea categorization, visual linking, and multi-user collaboration through focused questioning.
  4. Assess and prioritize features based on user needs, feasibility, and integration potential with further AI-assisted prompts.
  5. Refine the feature list by prompting the AI to suggest dependencies, potential challenges, and enhancements.
  6. Document the finalized prioritized feature set for subsequent development stages.
Materials: Codeex platform with AI-enabled dialogue interface, Sample prompt templates for feature elicitation, Reference readings on collaborative knowledge management app features, Guidelines on iterative prompting techniques
45 minDifficulty: intermediateDomains: software development, product management, human-computer interaction, AI-assisted design
Notes
Double-click to edit…