Concept generation

Introduction

The development of new ideas and concepts is crucial in many areas—such as product development, marketing, design, or science. Classically, this process is often time-consuming and shaped by subjective influences.

Artificial intelligence can be used here as a creative idea generator and methodological supporter. By analyzing large amounts of data, trends, and existing patterns, it enables systematic, fast, and inspiring concept generation.


Basis

Concept generation means developing concrete, actionable plans from initial ideas. For non-profit organizations, this would focus on social impact, inclusion, and sustainability, for example.

AI tools analyze existing data (e.g., social trends, funding needs, similar projects) and propose new approaches. This way, teams can receive impulses on how to better align their offerings with the needs of their target groups.


Areas of application & possible uses

  • Educational Projects Development of new course or workshop formats.
  • Community work Ideas for encounter formats, neighborhood festivals, or integration initiatives.
  • Social assistance services Concepts for consulting or support services.
  • Fundraising & Campaigns: Development of fundraising events or communication campaigns.
  • Cooperative Projects Suggestions for partner initiatives with other clubs or organizations.

Step-by-step procedure

Step 1: Define Needs

  • What topic should be addressed?
  • Who is the target audience?
  • What resources are available?

Step 2: Analyze existing projects

  • What activities are already available?
  • What can be improved or added?

Step 3: Formulate a specific question for the AI

  • Example: "Suggest three new workshop ideas for young people in Stuttgart that promote social participation and are also feasible on a small budget."

Step 4: Review and Develop Results

  • Discuss suggestions internally.
  • Estimate feasibility and impact.

Step 5: Create a concept design

  • Record the key points in writing (goals, process, resources).
  • Visualization (e.g., posters, presentation slides).

Step 6: Get Feedback

  • Speak with the team, volunteers, or participants.
  • Make adjustments.

Example from practice

Scenario

A non-profit association wants to develop a new program to promote the social participation of young people.

Prompt for an AI

Propose three creative project ideas to better engage young people in Stuttgart in neighborhood work. Focus: Promoting intercultural contacts, strengthening the community.


Conclusion

AI-powered concept generation offers new opportunities for developing new offerings creatively and systematically at the same time. It's important not to adopt the suggestions uncritically, but to use them as inspiration and further develop them together with the target audience.


Further links

ChatGPT PlusMultimodal AI Assistant for brainstorming, idea sketching, and text concepts – ideal for developing new offerings.
Claude ProVery good for long texts and contexts – supports structured concept development and ethically sensitive contexts.
CustomGPT.ai StandardCreates project-based chatbots from PDFs, websites, and notes – useful for concept transfer and project planning.

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