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How I Saved $10,000 on Product Research with an AI Megaprompt
- An AI-powered megaprompt helped change the way the author approached research for a product, providing insights into the customers' needs and areas for improvement.
- The use of megaprompt can help startups, product managers and marketers to save time and money by analysing consumer behaviour and suggesting ways to enhance communication.
- The AI-powered megaprompt delivers customer segments, 'Jobs to Be Done,' triggers and motivations, product ideas, and communication strategy to improve the product.
- The megaprompt helped the author save $10,000 in research and find solutions by cutting research time by 80%, with quick answers through Claude utility.
- The interview process and discovery analysis segment looks for the situations, emotional and psychological drivers, experience mapping, and the critical trigger moments to seek solutions.
- The next phase is the research synthesis that focuses on identifying the jobs-to-be-done (JTBD) and emotional and social jobs to segment the customers based on their JTBDs, trigger moments, and challenges.
- The third phase is product development, where practical product recommendations and communication strategies get developed to solve the primary JTBD for each segment, supporting secondary needs, and identify the potential obstacles and strategies to overcome them.
- The final phase, validation, competitive landscape, and next steps, help ensure the findings are robust and competitive edge and suggest practical steps for implementation and product evolution.
- Speed is essential in today's market, and the AI megaprompt is a useful research tool for anyone who needs to understand their customers quickly and efficiently.
- Approximate rate for the saving is mentioned to be 10,000$.
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