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Canny Autopilot

Put feedback management on Autopilot with powerful AI tools

Customer Success
Customer Communication
SaaS

Managing feedback can be time-consuming, especially at scale. Autopilot solves that challenge. It can detect feedback in chats, deduplicate it, reply to users, and summarize long threads. Autopilot handles the manual work while you focus on building product.

Top comment

Hellooo everyone! Super excited to share Autopilot with you today. We never wanted to build AI-powered features to check the AI box. We aimed to deliver features that provide clear value. Here are the key features that make up Autopilot: 🔎 Feedback Discovery – connect sources and automatically find feedback in your customer conversations. Duplicates are merged so feedback is accurately quantified and centralized. 💬 Smart Replies – let Autopilot respond to user feedback on your behalf with questions to gain additional context 📄 Comment Summaries – summarize lengthy comment threads with a single click to understand the key takeaways We’d love to hear what you think! Every plan gets some free credits, even the Canny Free plan. So give it a try 🙂 We’re also hosting a launch webinar today where we’ll demo Autopilot features. I’ll be there to answer questions! Come check it out (we’re also giving bonus credits to people who attend) — https://bit.ly/4bjiR1u

Comment highlights

Congrats on the launch guys. I have been using canny for feedback collection for my product. Its a really useful product.

Congratulations on the launch, Canny team! Excited to try out some of the Autopilot functionalities.

Congrats on the launch! Super interesting functionality. Do I need to use all of these features together, or can I enable just the ones I want to use? When finding feedback in chats, how accurate is your AI at detecting it accurately?

Congrats on the launch, Sarah and the team! Customer feedback is crucial, and a core of fast-growing companies like Milestone 🙌 As a big fan of Canny, wish you all the best in your feature development and growth. Currently you're collecting feedback from Intercom, Zendesk and Help Scout, right? Any plans on integrating it with live calls and emails?

Looks like a valuable product that will streamline a lot of processes and reviews

I can't believe I get to work on something as awesome as this. Our team blows me away every day. I've seen firsthand how hard they worked on this. Every day, they perfected our AI's accuracy and actioned feedback from our beta testers. The way you manage feedback is about to change forever. Thanks for being a part of this journey with us!

Super proud of the team that built this! I've noticed a few questions about how accurate Autopilot is. Thought I'd share some Tweets from our co-founder, Andrew: "We created internal benchmarks to evaluate Autopilot. Our goal was 99% accuracy and we kept iterating until we hit that mark. Obviously real-world data is different than an internal benchmark. That's why we've spent the past few months running an internal beta with dozens of our existing customers. Autopilot works well today, and is only going to get better. More feedback sources, even better accuracy, more context about your business, and more use cases."

Congratulations, team! We’re absolutely loving Autopilot! Previously, we really struggled with feature requests falling through the cracks, but now nothing goes undocumented. Great job!

congratulations on launching canny autopilot. managing feedback efficiently is critical, and it seems your tool tackles that head-on. with the feature set that includes smart replies and feedback discovery, how does autopilot ensure the accuracy and relevance of its automated responses and summarizations in diverse industries?

The comment summaries feature is a lifesaver for anyone drowning in user feedback. Great job, Canny team!

Congrats on the launch Sarah 🚀 Organising customer feedback is definitely one of the most sensible applications of AI. Really love seeing this ❤️ How accurate is Canny Autopilot's AI in deduping and summarising comments? What's the rate of false positives/negatives?