Keatext
p/keatext
Analyze feedback to create better people experiences
Ben Oldham

Keatext — Improve customer experiences with AI based analytics

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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.
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Ben Oldham
Maker
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👋 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.
Andreas Sohns
I love how Keatext is focused on speeding up the feedback analysis process. The fact that it does not require extensive training on your data. This makes it incredibly easy to set up and start gaining insights quickly.
Ben Oldham
@andreas_sohns Exactly, and this is one of our best competitive advantages. A lot of the larger text analytics providers have these long and expensive setup processes that just don't work when you are trying to be responsive to customer needs. We have always tried to keep the philosophy of a "plug and play" platform because that experience is what people are looking for.
Olivier van den Hoogen
Very cool! What are some other potential data sources that it can use that you have on the roadmap? E.g. community environments
Ben Oldham
@oliviervandenhoogen Hi Olivier, we have native integrations with Qualtrics, CallMiner, Zendesk, SurveyMonkey, ServiceNow, and Alchemer, and lots of other third-party integrations. Native integrations usually pop up on our roadmap when we see a demand for one. :)
Kehui Guo
Wow, eight years already? Congrats on the update! Love how Keatext is solving the pain points at each stage of the process. Good luck!
Ben Oldham
@kehui_guo So much has changed in CX since 2016, there's always something to look forward to in this space. It has been super interesting to see the value that our platform can bring to the customer-centric mindset of many businesses today. Thanks for the good luck Kehui.
Naomi | Beeyond AI
Certainly looks intriguing! When I sign up for it, can I invite other users from my team? Assuming it's possible, is it additional billing for each new member added? Or just a flat cost for the team?
Ben Oldham
@naomigarcia Hi Naomi, you won't be able to invite new users in your free trial but if you talk to us we will be happy to set something up for your larger team! Usually we do this as a proof of concept with your own customer data so it is more personalized and your team can see the most impactful results that Keatext can deliver. To answer your question about users, when you have a paid plan with us, it comes with a max number of users, I forget off the top of my head for each plan but it's not billed per user under that limit.
Liu Alex
Love it! Perfect for customer service :) Combined with Gleap or Customer.io, it seems like a solid solution for any business.
Eileen Lim
Keatext’s dashboards and GPT-generated reports are perfect for sharing insights with the team. Great job, Ben!
Ben Oldham
@eileen_lim Hi Eileen, thank you! The reporting layer in particular is a newer feature that we built to respond to what we were hearing in the CX space, especially with the new generative capabilities of AI. The objective is always to make the end user's work easier. With a ready-to-share report, that takes a big chunk out of the time it takes to close the customer feedback loop. :)
Yafei Lee
I'm looking for a software that allows me to quickly build a mechanism for user satisfaction feedback and product optimization decisions. This is exactly what I need~
Ben Oldham
@yafei Thanks for your nice comment Yafei! Yeah, Keatext is great for product folks and product ops teams to name a few. This is a pretty core use case for us, quickly understanding feedback, reception of new features, overall satisfaction etc. I can't attach files in my comment, but if you reach out to us we'd be happy to share some decks about this specific use case. We do have a page on our website that you can check out: https://www.keatext.ai/en/produc...
Toshit Garg
Congratulations for launch of Keatext....
Sharon Workman
The ability to segment and categorize feedback automatically could save us significant time and resources.
Zaheer Khan
The integration of AI in analyzing text data could enhance the accuracy and speed of insights generation.
Tim David
Customer sentiment analysis is valuable for anticipating trends and adjusting strategies accordingly.
Zubair Collier
leveraging customer insights from it could inform our campaign strategies and messaging, ensuring they resonate with our target audience.
Sophia Gartner
Real-time analysis of customer feedback is critical for addressing issues promptly and proactively.