Turn Consumer Reviews into Engaging Stories
Write Product Guides Your Readers Can Relate To
The Problem
Text-based consumer feedback such as product reviews and surveys contain valuable insights but require a high level of human effort to process. Despite many analysis tools on the market, professionals still need to spend a lot of time manually categorizing themes in the data and connecting the dots between them.
Our Solution
To address this unmet need, we built an analysis platform that uses state of the art AI and NLP to identify important themes in thousands of responses, distill them into short summaries, and reveals the relationships between them.
Our Product
O1
Get a summary of important feedback
Our Proprietary AI/ML algorithms detect the most important customer thoughts, and construct them into related themes and core insights.
So you don’t have to spend more time choosing only 1 or 2 comments from a theme group anymore.
O2
Understand the impact on your product
Quantify customers’ thoughts by themes and views (sub-themes) so you know exactly how relevant or important they are to your product.
No more ambiguity.
O3
See the interplay
between themes
Understand the degree of overlap between customers’ views at a glance.
So you don't have to look at each of them in a vacuum any more.
Easy process
O4
No more hours of manually reading through comments or complicated IT set up.
Just send us your data and collect results.
OUR VISION
The world is filled with many different voices today. We need technology that empowers us to understand them quickly and clearly. This is important because it would enable us to make better-informed decisions faster and build empathy into our interactions with each other, whether it's at home or at work.
At FindOurView, we are using the collective intelligence of humans and machines (AI / NLP) to identify context in user-generated content and distill them into core insights. We envision our patent-pending technology will become a new standard to reveal insights in complex situations, helping large groups reach consensus and desired outcomes.
---- Commercial Use Cases ----
Editorial product reviews
Help writers and editors go through the rigorous product research process faster, so they can put more time into their writing.
Order fulfillment
Help business analysts make actionable recommendations faster, to reduce losses caused by returns and low ratings.
Customer research
Help consumer insight teams understand the drivers behind the ratings in product reviews, to drive higher customer happiness.
---- Civic Use Case ----
Our broader vision is to accelerate mutual understanding in communities globally by giving people tools that help them discover different perspectives and find common ground.
Our Team
George Whitfield
CEO
MIT startups, complex systems modeling
Rita Ma
Marketing Lead
Multi-cultural marketing communication
Mohit Juneja
Dir. of Machine Learning
Enterprise analytics, machine learning, NLP
Josh Harding
Dir. of Full-Stack
Engineering
Web/mobile apps, enterprise infrastructure
Lucas Furtado
Full-Stack
Engineer
Responsive web design, user interaction
Our Advisors
Lara Bathurst
Strategy Advisor
Harvard BA Econ, USC MBA, corporate finance
Rene Chen
Design Adivisor
MIT BS, RISD MID, innovation designer, 20 women in tech
Thomas Vogel
Marketing Advisor
Creativity specialist, experienced marketer
Partners & Supporters
