Survicate

AI, AI, AI, and some more AI. 🥱 Boring. Or is it? We wanted to know what product managers and user researchers ACTUALLY think about using it in their daily work. And so, we joined forces with Amplitude and picked the brains of over 150 professionals from companies such as Cognism, Tidio, Text, and Prowly. We packed all their insights into this report and would love for you to read it. So go ahead, download, and let us know what surprised you the most! Link in the comments 📖 Big thanks to our experts: Piotr Cygan, Patrick Ward, Angela Nowaszczuk, Jakub Garstka, Pranav Goyal, Katarzyna Janas, Wiktor Sobolak, Katarzyna Majchrzak, Herbert Przychodny Carvajal, Krzysztof Miotk, Toni Dos Santos, Anna Skibicka, Paweł Stawski, Luke Lasek, Josh Britton, Stefania Martos, Mateusz Wcisło, Jacek Winiarski and many others, along with our survey participants for sharing your thoughts with us. And to our friends at Amplitude: Brandon Khoo, Jules L., and the whole team - thank you for partnering with us to create this report. 💜

Is somebody gonna match our freak? We analyze user needs with AI and finally have time for hot girl couch sitting and weighted blanket shopping. 💁🏻♀️ #sorrynotsorry

The time it takes to analyze data. Nearly 30% of our latest report’s respondents say that this is the main challenge they face within product research. Now, just as Katarzyna Janas, a Product Manager at Text says, analyzing feedback was a manual and time-consuming task. But with the integration of AI, it can be a swift process at last. Take two AI features we’ve added to Survicate as an example—Insights Hub and Research Assistant. We’ve added those to address the problem of data analysis directly. Insights Hub automatically categorizes connected data and survey feedback, while extracting what you need most—insights. Research Assistant on the other hand, gives you the option to do something you probably didn't have the time to do before—dive even deeper to the feedback collected across sources by simply asking questions about it. So does data analysis have to be challenging? Not necessarily. -------------------------------------------------- Thank you Katarzyna Janas for your wise words! 🙇🏻♀️

The hoa hoa hoa season is getting close. 🍁 What can you do about it? a) rewatch all the Twilight movies from the comfort of your couch, b) get some extra time in your daily product management life to be able to watch Twilight. And to get that extra time on your hands, use Research Assistant when digging around Survicate. How it works? You ask it a question and it comes back with data-based answers to help you get even more out of the collected feedback—be it location-specific Google reviews, answers to all your in-product surveys, or Intercom conversations. Swipe left for 4 prompt examples. 👈🏻

We’re not in Kansas anymore. Moving from startups to scale-ups as a Product Manager can be scary, but most of all it’s exciting—you finally have proper user data to base your decisions on.

When life gives you lemons, make lemonade. When customers give you feedback, make sure to squeeze every last drop of value from it. 🍋 Yet the feedback may be difficult to appreciate if it becomes overwhelming, right? Product Managers, you know all too well that with the different feedback you’re receiving, you’d have to split the product into 10 different versions to suit everyone’s wishes. Not if you have proper help, though. With Research Assistant you can explore every angle you can think of and get a bird’s eye view of all the feedback you’re receiving. All you have to do is ask. Ask Research Assistant about timeframes, feature feedback, trends emerging from all the feedback collected across various sources, or dive deep into the latest release sentiment. Research Assistant has all the answers you’re looking for, always linking back to the data source. ✨

65.2% of our 2024 report on the impact of AI on Product Research’ respondents have used AI tools in the past. But the report goes waaay deeper than just this one insight. Read it to discover how product people use AI in their work, what are their main concerns, and where they see the biggest potential. Your email is not needed to read it. 💜

nobody will remember: - your salary - how “busy you were” - how many hours you worked people will remember: - how you discovered that your leads actually come from SEO, not the ads you’ve burned $$$ on 🤫

Do you guys know how to get rid of the shrimp posture? 🦐 We do 😏 Spend less time curled up in front of the screen analyzing data and let Research Assistant do it for you. Here are 4 prompts you can use in your day-to-day marketing duties to make the most out of the feedback you’re receiving, without spending hours at your desk. Thank us later. ✨

The unskippable ads to streaming platforms, the removed headphone jack to wireless headphones, the impossible in-game challenges to payable power-ups. Some create new problems for clients intentionally, others do it by accident. Once in a while, the new feature you’ve introduced may end up creating problems your clients didn’t have in the first place. As Dan Leitão says, the emerging customer needs can be either positive or negative. But one thing's for sure—product development is rarely straightforward. 🥴