Improve customer experiences with AI based analytics
Keatext helps CX professionals analyze text data from reviews, surveys, and contact center interactions. It unifies feedback channels, pinpoints key drivers of satisfaction, and generates AI-powered recommendations for changes with the most impact on CX.
👋 Hi everyone, I'm Ben!
Keatext originally launched on Product Hunt 8 years ago. Wow, it’s been a while! We thought it was about time we launched a new update on here.
We built and have been continually improving an AI platform for customer experience professionals. As CX has evolved over the years, we have heard loud and clear that these people need a strong way to discover and report on insights from customer feedback. Today, Keatext supports every stage of the analyst’s work:
1️⃣ Collect: Unify insights from customer feedback channels like reviews, surveys, and contact centers in one platform
2️⃣ Analyze: Identify what drives satisfaction and what customers are mentioning that has a significant impact on metrics like NPS, CSAT, and star ratings
3️⃣ Act: Take inspiration from recommendations generated by GPT on ways to improve customer experience that you can share across your organization
What’s different about Keatext?
👉 Speed: Both setup time and time to insights are big considerations in choosing a CX analytics solution. We’ve built a model that does not need to be trained on your data with a dictionary or a lexicon. Keatext’s AI is industry agnostic. That means it only takes a few minutes to upload data and start discovering insights tailored to the context of your business!
👉 Dashboards: Keatext’s self-serve dashboards allow for powerful and customizable data visualization. Apply filters as granular or as global as you want, and save and share dashboards for different roles – like managers, executive leadership, clients… The choices are all yours.
👉 Reporting: Keatext generates a report with GPT that summarizes the main insights and most impactful recommendations from your data. It’s a ready-to-go report that you can share right away. This is just one way that we are integrating the capabilities of generative AI to enhance the user experience.
Thank you for checking out Keatext and feel free to leave any comments or questions! I will be taking the time to answer them.
About Keatext on Product Hunt
“Improve customer experiences with AI based analytics”
Keatext launched on Product Hunt on July 9th, 2024 and earned 117 upvotes and 20 comments, placing #18 on the daily leaderboard. Keatext helps CX professionals analyze text data from reviews, surveys, and contact center interactions. It unifies feedback channels, pinpoints key drivers of satisfaction, and generates AI-powered recommendations for changes with the most impact on CX.
On the analytics side, Keatext competes within Artificial Intelligence, Data & Analytics and Data Visualization — topics that collectively have 475.6k followers on Product Hunt. The dashboard above tracks how Keatext performed against the three products that launched closest to it on the same day.
Who hunted Keatext?
Keatext was hunted by Ben Oldham. 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 Keatext including community comment highlights and product details, visit the product overview.
Ben Oldham