Client
Notissia
Product
Graphic Design
Notissia is a proprietary deal flow intelligence platform that helps early-stage investors automate ingestion, enrichment, and sharing. Notissia acts as an AI deal flow assistant. The AI-powered system converts natural language from emails and calls into CRM updates, by deal.
Client
Notissia
Product
Graphic Design
Notissia is a proprietary deal flow intelligence platform that helps early-stage investors automate ingestion, enrichment, and sharing. Notissia acts as an AI deal flow assistant. The AI-powered system converts natural language from emails and calls into CRM updates, by deal.
Client
Notissia
Product
Graphic Design
Notissia is a proprietary deal flow intelligence platform that helps early-stage investors automate ingestion, enrichment, and sharing. Notissia acts as an AI deal flow assistant. The AI-powered system converts natural language from emails and calls into CRM updates, by deal.
Project
Overview
Project
Overview
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.
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.
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.
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.
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.
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.
Benchmarking
Benchmarking
We analyzed AI powered products such as ChatGPT and You (search engine) for information visualization references and reviewed different approaches for the features.
We analyzed AI powered products such as ChatGPT and You (search engine) for information visualization references and reviewed different approaches for the features.
Market Opportunity
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.
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.
Style
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20/30
18/28
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The project
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.
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.
Olivia Rhye
John Smith
Wrapping Up
Wrapping Up
As we iterated the product and collected qualitative data to understand user needs, we concluded that the product had great value not only in providing business intelligence to investors, but also in providing an easy way to structure and collect data within an organization. Today, the product aims not only to automate deal flow management, but also to provide data capture through many application integrations.
As we iterated the product and collected qualitative data to understand user needs, we concluded that the product had great value not only in providing business intelligence to investors, but also in providing an easy way to structure and collect data within an organization. Today, the product aims not only to automate deal flow management, but also to provide data capture through many application integrations.
