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The idea of building a family tree through a GPT interface places you in a 'Pivot' category, meaning current solutions aren't quite hitting the mark and there's room to adjust the approach. With about 3 similar products identified, we have medium confidence in the assessment. While the engagement (avg n_comments is 5) is there, it's important to note that the similar products have received criticisms regarding their long-term viability, lack of compelling features, and trust issues about data preservation. It seems people are skeptical about relying on a single internet company to safeguard their family's legacy for the long haul. Free alternatives like Wikitree are also a point of comparison for potential users. Given the discussion and criticisms from similar product launches, you're in a position to learn from their shortcomings and address unmet needs.

Recommendations

1. Specifically address concerns about long-term data preservation. Explore decentralized storage solutions or partnerships with established archival institutions to ensure the longevity of user data. Communicate these strategies clearly to build user trust and alleviate fears of data loss.
2. Identify and differentiate your GPT family tree builder by offering unique, compelling features that go beyond existing solutions. Focus on features that free alternatives might not offer, or that your target audience might benefit from more. This could include advanced AI-powered insights, interactive storytelling based on family history, or unique visualization options.
3. In light of criticisms around the lack of compelling features, consider conducting a thorough user research phase. Understand what users truly want from a digital family tree experience. This could involve surveys, interviews, and prototype testing to identify unmet needs and prioritize feature development.
4. Based on the discussion about marketing language, avoid any language that could be perceived as 'scammy' or misleading. Prioritize transparency and honesty in your messaging, and clearly articulate the value proposition of your GPT family tree builder. Establish trust by being upfront about data security measures and pricing policies.
5. List the top 3 reasons people dislike similar family tree products. For instance, usability issues, data privacy concerns, or lack of engaging features are potential candidates to consider. Based on this understanding, sketch out how your solution could avoid these pitfalls. Focus on creating a user-friendly, secure, and engaging experience that addresses these pain points.
6. Test your new approach with 5 potential customers before investing heavily in development. Gather feedback on your core features, value proposition, and overall user experience. This iterative approach will help you refine your product and ensure it meets the needs of your target audience.
7. Set a 4-week deadline to see if the pivot shows promise. Track key metrics such as user engagement, retention, and feedback to assess the viability of your new approach. Be prepared to make further adjustments based on the data you collect.

Questions

1. Given the concerns about long-term data preservation, what specific technologies or partnerships will you leverage to ensure the longevity of user data beyond the typical lifespan of an internet company?
2. How will you differentiate your GPT-powered family tree builder from free alternatives like Wikitree, and what unique features will justify a paid subscription?
3. Considering the feedback about 'scammy' marketing language, how will you ensure transparency and build trust with potential users, particularly regarding data security and pricing policies?