Context
Prior to solutions like Notion Q&A, we worked with the startup's CEO and advisors to develop an AI-powered application to structure investor deal flow and provide prompt-driven knowledge and predictions from documents and early-stage startups.
The Goal
Conceptualize a viable MVP in 6 weeks to provide a tangible representation of the product idea, engage potential customers, refine the product based on real user feedback, and validate market fit.
Our Roles
User Experience, Interface Design and Product Strategy.
Solution
We created an MVP that offered cloud synchronization of the company's deal files as the primary data source, allowing users to gather real-time answers and analytics that demonstrated the product's value.
Prompt AI for knowledge management and analytics
Cloud sync and file management
Collaborative commenting system
Customized file sharing settings
File upload and sync (Cloud, Browsing, Email)
Chrome Extension
Userflow proposals for different file upload alternatives within the product
Wireframes for Chrome Extension
The Market Opportunity
AI can quickly and accurately process vast amounts of data, identifying patterns and trends that might otherwise be missed. This technology provides real-time insights, reduces the potential for human error, and enables the evaluation of complex financial metrics and market conditions. Currently, funds and investors use CRM software to manage their deal flow.
Benchmarking
We analyzed AI powered products such as ChatGPT and You (search engine) for information visualization references and reviewed different approaches for the features.
The Project
The MVP flow focused on the primary objective of providing business intelligence on potential investments through timely AI. We definined the flow and features that would drive product adoption and interest.
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