I've never seen a website feel more alive than the one @CycleProduct just dropped 🤯

Damn, we can finally put a face on all these "AI agents" ppl have been talking about

Don't be scared. These are just a few of the 150+ new AI helpers coming to @CycleProduct. (We made them.)

@CycleProduct Ask panel ❓ Talk to your feedback. Write PRDs, release notes, and more... Just ask. Featuring beautiful 3D assets and animations, created in collaboration with @HerveStudio 🍭

@CycleProduct  new website is Live 🔥🚨 cycle.app - Well done team!!! Shoutout to @adrienrochet  for the design collab, to @HerveStudio for the sleek 3D assets, to Patricia Falandysz for the dev and of course to Med for the vision (and 15k comments on Figma 🤣)

The new @CycleProduct drop is 🔥 Product agents now gather live feedback so you know exactly what to double down on and what to ship next. Voice of the customer, on autopilot. Congrats @mboudoukhane and team!

Sidebar re-design # 2843 😍 -Ask Cycle at the top. -New Customers section. -Simplified app structure: Feedback, Features, Releases. -Ability to star customers (people & companies) as well as releases -New icons changelog.cycle.app/cycle/UH…

This is what a feedback autopilot looks like ✨

With AI, it's easy to fall into the trap of overpromising and underdelivering. There are so many AI products out there... but most of them are just shiny prototypes, not working products. So, if your AI actually works, you have a chance to stand out. But how do you prove it? How do you demonstrate that your AI product is not like the others? At @CycleProduct, we came up with a concept we called the AI relevancy score. It's basically a calculation of our feedback AI's success rate broken down by workspace. Every time a piece of feedback gets processed in Cycle, we create a score that compares the AI-generated answer to the "good" answer (ie the user-verified answer). We use that score to 1/ understand general AI gaps in order to improve it for all customers, and 2/ spot specific workspaces for which AI performs poorly so we can further calibrate them. It's extremely helpful for us as we can now iterate on our AI logic in an analytical way. But we're about to take it further 👀 We'll make that score available in the app. That way, teams can track how Cycle's AI performs for their specific use case and compare it to alternatives. They can also see how calibration impacts relevancy over time, doing so building trust in the AI system. If your AI is not bullshit, you gotta prove it. Be analytical about it. Show don't tell that you're the best AI out there. Go and compute that AI relevancy score!

Sync your @HubSpot customer attributes with @CycleProduct 🚲 MRR, close date, lead status, number of employees, country/region, industry, you name it. Bring them all into Cycle! This means: better customer profiles in Cycle but also deeper voice-of-customer analyses with filters on your customer attributes. More in Cycle's changelog: changelog.cycle.app/cycle/

By now you know that I'm obsessed with the idea of closing the feedback loop. There's so much untapped revenue potential in your releases... if only you have a strong feedback loop system that lets you get back to folks at each release 👀 It's not a nice-to-have. It's a statement that you care about your customers. And it's not just your customers btw. In B2B, 70% of product feedback comes from your customer-facing teams. So it's critical to build trust with them too. It was already possible to close the feedback loop with @CycleProduct but it was not smooth. It required way too many steps. So we decided to go ahead and re-design a whole new feedback loop experience for y'all ☺️ It's shipping veryyyy soon and it will be a game changer for teams who care about building trust with their customers! Hope you don't mind the lil' teaser ☺️ stay tuned! 👀

We shipped something huge last week 🙀 It's called Cycle Ask and it's a whole new way to ask questions to your feedback repository. Want to know what your customers had to say about performance issues last month? Just ask! Want to get a summary of the feedback you have for one of your top customers? Just ask! Cycle Ask recognizes the filters in your question, semantically finds the most relevant customer quotes, and gives you a structured answer that you can copy with one click. There's more. Cycle Ask let's you browse the customer quotes that were used to provide its answer, that way you can drill down into the raw customer context. No black box! I'm using it all the time on our dogfood instance (🐶) and it's pretty life-changing! It's in early access, let me know if you want to give it a try!

New product updates in our latest changelog: ⚡️ Revamped Feedback Processing Feedback processing is now clearer and faster: - Simplified UX for a smoother experience - Review AI suggestions in context - Choose to review suggestions in bulk or one by one 🎉 Changelog Now Available to All Teams Pick a template, customize it in minutes, and make it live. Here’s what’s new this week: - Display/Hide Bugs & Improvements: Control what’s visible in your releases - Customizable Favicon: Make your changelog perfectly match your brand 👉 Explore the full updates on cycle.app

Write the release note before you ship the feature, not after. To write a good release note, you have to focus. The release note is meant to hook people. You have to get to the essence of what to ship. Starting with the release note pushes you to do less but better. It forces you to prioritize. It ultimately helps you ship better, more focused products. Release notes also serve as a storytelling tool. Storytelling is how you get people to take a leap of faith to do something new. The story you tell shapes the product you build. A good story is an act of empathy. It recognizes the needs of its audience. Again, it helps you ship better products that make people feel heard. Writing solid release notes is an underrated product superpower! Write them before shipping if you want to unlock their full potential ✌️

"AI-generated, user-verified" It only works if the verification process is super smooth! In @CycleProduct, you can now verify AI-extracted customer quotes in bulk. Processing large volumes of feedback just went from painful to delightful 💙

⚡️ Fast transcript access Need to follow up quickly after a call with a prospect or customer? You can now access your call transcript within 20 seconds. The video will be available in the same document just a few minutes later.

🔍 Discover how Cycle AI can save you hours! It simplifies product feedback management by identifying key quotes, suggesting relevant features, and giving you control to validate or refine its actions. Whether you want to go full Autopilot or maintain Manual control, our AI adapts to your needs. 2024 brought huge improvements, both in terms of quality & UX. Here are some major updates: 🎯 5x more accurate feature matching ⚙️ Automation control 💡 UX revamp 🧩 Tailored prompts for different sources 🌍 Multi-language support 🗣️ Speaker detection in audio/video 🔁 Model fallback

New product updates in our latest changelog: 📊 Multi-Dashboard After the general Voice-Of-Customer dashboard, you can now get multiple dashboards, think of one for each specific use case like revenue tracking, feature adoption, churn risks, and more. You can also pin, star, rename, and add descriptions to your dashboards. ✨ Automatic Customer Cleaning Your customer and company data are now automatically cleaned in Cycle, ensuring more accurate analysis. 📩 AI on Forms Our AI now captures both questions and answers, giving you better context for user feedback. ⚡️ Fast Transcript Access Receive your call transcript in just 20 seconds, so you can follow up right after your call. 🗒️ Intercom Internal Notes Automatically notify your support team when statuses change in Intercom conversations. 👉 Learn more and see other updates in our changelog: cycle.app/changelog