Ask our AI Agent anything across your customer reviews, support chats, calls, and surveys; get root causes by version, device, and plan - with proactive alerts before issues get expensive.
We had this. When there are a lot of reviews, you need to choosse the most problematic and truthful one.. And specifically about system errors. And start correcting the situation with it. A useful product, we are waiting for other sites to add!
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Wow! Very cool to see a public tool launched by this team. Wishing you all the best, and excited to see what comes next!
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Just spun up a Spiral AI Agent with a Play Store link, instant insights. It’s wild how fast it picked up root issues buried in the reviews. This is going to be a must-have before every sprint planning.
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Congrats Elena, love the “one complaint that helps the most customers” framing.Super clear and powerful. I’ve seen the same in my own work:
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I recently tried the newly launched SPIRAL, and it exceeded all my expectations. The intuitive user interface stands out, showing a clear focus on user experience. Whether you are a beginner an expert, this software offers something for everyone. From design to functionality, it's a refreshing change in a crowded market.
Wow, Elena! Spiral sounds like a lifesaver for teams dealing with mountains of customer feedback. Turning reviews into actionable insights with AI is such a game-changer. Excited to see it expand beyond Google Play! Congrats on launching something that clearly meets a huge need! 🚀🌀
@alex_cloudstar Thank you so much, Alex! Yes, we've been hearing it from most customers - they always wanted the ability to quickly turn reviews into answers. Let me know what you think when you scan your app with Spiral!
@alex_cloudstar Thanks for the support Alex! We actually do currently scan support (live chats, phone, emails etc) and reviews for our enterprise customers, we're just making the Google Play channel available via self serve today. Feel free to pop over to spiralup.co and sign up for a free account and even send us a public data source for free analysis.
Fakeradar
We had this. When there are a lot of reviews, you need to choosse the most problematic and truthful one.. And specifically about system errors. And start correcting the situation with it. A useful product, we are waiting for other sites to add!
Wow! Very cool to see a public tool launched by this team. Wishing you all the best, and excited to see what comes next!
Just spun up a Spiral AI Agent with a Play Store link, instant insights. It’s wild how fast it picked up root issues buried in the reviews. This is going to be a must-have before every sprint planning.
Congrats Elena, love the “one complaint that helps the most customers” framing.Super clear and powerful. I’ve seen the same in my own work:
I recently tried the newly launched SPIRAL, and it exceeded all my expectations. The intuitive user interface stands out, showing a clear focus on user experience. Whether you are a beginner an expert, this software offers something for everyone. From design to functionality, it's a refreshing change in a crowded market.
Magiclight
Love the concept of SpiralUp!
How real-time are the proactive alerts?
Spiral
@jason123 as quickly as we receive the data!
Makers Page
Wow, Elena! Spiral sounds like a lifesaver for teams dealing with mountains of customer feedback. Turning reviews into actionable insights with AI is such a game-changer. Excited to see it expand beyond Google Play! Congrats on launching something that clearly meets a huge need! 🚀🌀
Spiral
@alex_cloudstar Thank you so much, Alex! Yes, we've been hearing it from most customers - they always wanted the ability to quickly turn reviews into answers. Let me know what you think when you scan your app with Spiral!
Spiral
@alex_cloudstar Thanks for the support Alex! We actually do currently scan support (live chats, phone, emails etc) and reviews for our enterprise customers, we're just making the Google Play channel available via self serve today. Feel free to pop over to spiralup.co and sign up for a free account and even send us a public data source for free analysis.