Cycle App

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Carbo tripled their product team within a year, thanks to sharp & scalable processes. Here’s how they made it happen: 📊 Centralized user insights: They consolidate feedback from multiple channels into a single source of truth, making general trends visible and prioritization easier. 🤝 Smooth collaboration: Carbo enables customer-facing teams to provide product feedback seamlessly. Product teams work transparently and leverage this feedback to shape the product. 🔄 Consistent feedback loops: PMs organize features through releases and notify customer-facing teams with a single click, closing the loop with customers and prospects who showed interest or expressed a need. This boosts user engagement and encourages even more feedback. ⚡️ Dynamic roadmap: With real-time data, their roadmap is flexible and evolves with new feedback. Carbo’s execution is nothing short of impressive, and we love how they use Cycle to achieve this level of efficiency. Big shoutout to Anthony Guennegou and the Carbo team for setting the bar high in climate tech product management! Curious about their full process? Read the full story. Link in the 1st comment. PS: They’re currently hiring Salespeople 👀

"I used to have customers churn because they requested features we didn’t have. We shipped them, but without closing the loop, they never knew and left." Never again, thanks to our Zendesk integration 👀 Send feedback straight from Zendesk to the product team and get status updates back there! Here’s a flow example: 📭 Submit feedback directly from any Zendesk ticket 🏷️ Tag feedback in Zendesk for easy triage later ✨ Our AI (or a PM) will link it to initiatives in your roadmap 🔁 Whenever the feature addressing the need changes status, you'll receive an informative internal note in Zendesk so you can close the loop 👧🏻 View all feature requests/bugs associated with any customer in Zendesk to improve your support interactions Elevate your support team's impact by ensuring customer feedback directly informs your product strategy! No more gaps between what your customers need and what your product delivers. 🌟 PS: You can also set up automation to fetch all messages matching specific criteria directly into Cycle.

Sometimes, LLMs are down. But your feedback autopilot still needs to run. So we now automatically switch from one model to the other in case there's an error. That way, your AI requests get done in a consistent way. To further enhance robustness, we've also introduced a retry mechanism. If an error or wrong format is provided by the LLM, the prompt will be retried to ensure reliability. What have you found to be useful for maintaining AI user experience to its highest?

Discover our Salesforce integration 👀 Send feedback straight from Salesforce to the product team and get status updates back there! Here’s a flow example: 📭 Submit feedback directly from any Salesforce Lead, Contact, or Account page ✅ Tag feedback right in Salesforce for easy triage later ✨ Our AI (or a PM) will link it to initiatives in your roadmap. 🔁 Whenever the feature addressing the need changes status, you'll receive an informative internal note in Salesforce so you can close the loop. 👧🏻 View all feature requests/bugs associated with any Lead, Contact, or Account to enhance your customer relationships. Game-changer for seamless customer-facing and product team communication! Never miss an opportunity to close the loop, delight customers, and reopen deals. PS: You can also set up automation to fetch all messages matching specific criteria directly to Cycle.

Throwback to our "Building an AI GTM Motion That Resonates with Your Customers" event in San Francisco last week. Here are some key takeaways: 🛡️ Trust is key: Set clear expectations from the start to build and maintain user trust. 💡 Value in sales: AI’s effectiveness in sales comes from its ability to deliver immediate, real value, such as identifying cost-saving opportunities or providing highly relevant insights. 🔄 Workflow automation: Break down complex workflows into smaller, manageable steps to enhance the accuracy and reliability of AI outputs. 📊 AI relevancy scores: Regularly monitor and refine AI relevancy scores through user feedback and validation to continuously improve outputs. ⚠️ AI hallucinations: These can erode trust. Handle them proactively and provide visibility and workarounds to your customers. 👌 Human touch: While AI-generated communications save time, they still need a human check for quality and relevance. 🔗 Integrations: Add value by integrating with existing customer stacks, rather than replacing them The energy was incredible, thanks to our fantastic panelists — Alfie Marsh (Toolflow AI), Caroline Clark (Arcade), Elaine Zelby (Tofu), Frank Mayfield (Attio), Mehdi Boudoukhane (Cycle App), and Jordan Crawford — and a terrific audience that kept the conversation going long after the event. For those who missed out, subscribe to our newsletter to get ALL the insights: cycle.app/blog. We'll also be publishing video snippets soon! Looking forward to the next ones — in Europe this time 👀

Concerned about sensitive information in feedback? 🛡️ We've got you covered. You can now limit access so collaborators only see the feedback they've created or are assigned to. 🔒 To enable this feature, just go to Settings > General and toggle the option.

Only a few spots left for our product meetup tomorrow in San Francisco! 💡 How do you build an AI GTM motion your customers actually want? We'll share unfiltered thoughts on what's working and what isn't — from the startup trenches! Join us for our third event in SF with a fantastic lineup of founders and operators in the GTM stack: - Alfie Marsh from Toolflow AI - Caroline Clark from Arcade - Elaine Zelby from Tofu - Frank Mayfield from Attio - Ayan Barua from Ampersand - Mehdi Boudoukhane from Cycle App 🎤 Moderated by the one and only Jordan Crawford 📅 Date: this Thu, Aug 8 ⏰ Time: 5:30 PM 📍Location: San Francisco (50 Beale) Space is limited to keep discussions highly interactive, so register now (our second event was sold out 🤯): https://lu.ma/1t941g1i If you're a founder or product leader in SF, register now! Tacos & drinks are on us 🤗

It's happening tonight! 🔥 Join us for an exciting discussion on building AI autopilots that scale with Pylon, Octolane AI (YC W24) & Keywords AI (YC W24) We'll dive into enhancing your autopilot with UX nudges, mastering prompt engineering, learning from tech experiments, and connecting with passionate product builders. Can't wait to hear insights from 🌶 Bennett Amodio, One Chowdhury, Raymond Huang & Martin Delobbe! Interested in more events like this? We're organizing another session this Thursday on how to build an AI GTM motion that actually works. 👀

Check out the new changelog templates in Cycle App 👀 Get inspired by the best (and us! 😅) – you can even fork our changelog as a template if you like it! 👉 https://lnkd.in/gQHxmFs2