Track product feedback from customer conversations using NLP
Track valuable product feedback faster. Leverage NLP to save bugs and feature requests as they come in through emails, reviews and chat.
About ScopeAI 2.0 on Product Hunt
“Track product feedback from customer conversations using NLP”
ScopeAI 2.0 launched on Product Hunt on August 8th, 2019 and earned 117 upvotes and 14 comments, placing #6 on the daily leaderboard. Track valuable product feedback faster. Leverage NLP to save bugs and feature requests as they come in through emails, reviews and chat.
On the analytics side, ScopeAI 2.0 competes within Productivity, User Experience, SaaS and Artificial Intelligence — topics that collectively have 1.5M followers on Product Hunt. The dashboard above tracks how ScopeAI 2.0 performed against the three products that launched closest to it on the same day.
Who hunted ScopeAI 2.0?
ScopeAI 2.0 was hunted by Kat Manalac. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of ScopeAI 2.0 including community comment highlights and product details, visit the product overview.
Kat Manalac