Why AI changes the approach
You have customer feedback, competitor analysis, market research, and technical data scattered everywhere. AI synthesizes this into clear insights: what product should you build?
Step-by-step
- 1
Gather: customer research, market trends, competitor offerings, technical specifications, cost data
- 2
Ask AI: "What patterns do you see in customer demand for lower-carbon products?"
- 3
Ask: "What's the market gap? What product should we build?"
- 4
Ask: "How does this compare to competitor offerings?"
- 5
Synthesize: Product recommendation, differentiation strategy, go-to-market plan
Ready-to-use prompts
Adapt to your actual files and context before using.
I'm uploading customer research, competitor analysis, and our technical capabilities. What product should we build? What's the market opportunity? How do we differentiate?
Our customers want lower-carbon products, but they won't pay much premium. Our competitors are moving into this space. Where should we focus? What's our unique angle?
Output template
Market opportunity quantified, product recommendation documented, differentiation strategy created
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Need this embedded in your team?
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