Cardinal is an opinionated feature backlog. It pulls in your customer feedback, CRM data, and task management issues and uses AI to assess which customers want which features, how important is it for them, and tie them to your product strategy.
It’s been over 6 months since we launched here on PH (and on YCombinator).
We practice what we preach: we’ve listened to our customers and talked to hundreds of product & GTM leaders so we can build what they need and not just what they want.
Thanks @mwseibel 🙏🏻
🎯 Who is it for?
• Product leaders: those in charge of discussing, deciding and aligning product teams on what to build next (like us, product nerds)
• GTM teams: those talking & listening to prospects and customers, those in charge of making them happy
🧠 What does it do?
Cardinal enriches your features backlog with data and feedback from customers, sales, and product needs - it serves you with as much information it can get, when trying to find the next product or revenue opportunities.
🧊 Is it cool?
Yes, very cool. We wanted to make a tool that works for you, and it does, really really hard.
🤖 AI? did you say AI?
Yes, we’re excited about bringing AI to product management and how it can give product teams super powers! LLMs are built into the core, providing perfect memory and intelligence over all ideas, features, initiatives, tasks, customers and feedback!
Super Excited ❤️
Wiz & Mor
@a007mr hey Anton. We have connectors, automations and processes for each. We also have LLMs at the core of the system, ready to help with tedious tasks, with full context and data awareness
Great question @a007mr. One of our core learnings through the last months was that various teams keep siloed information everywhere. One of the jobs of the PMs is to try to juggle between them all and try to keep up to date. Our system is built to help with bringing this information into one place where all the teams share a source of truth, while still allowing the teams to live in their tools (e.g. Salesforce and Hubspot for GTM, and JIRA / Linear / Shortcut for engineering).
Such a great product that meets such a giant need -
I've always found myself and my engineering teams questioning priorities in the backlog ("who asked for this?" "Does this feature justify the effort?")
And Cardinal's approach to this seems so right - given all the data sources organizations have + AI capabilities.
Amazing work by the Cardinal team!
Great way to use AI to help prioritize features. This tool can pay for itself and help grow revenue. As others have said, the design is so slick :) Congrats to the team!
Hey @on, we pull it from your CRM, we also get the Deal stage, value and other elements we're using to paint a better picture on that prospect/customer.
Congrats on the launch, @nadavwiz , your commitment to the journey is fantastic. I am looking forward to playing with the updated product. I'm sure this is a life changer for every product leader. Good luck!
Interesting product idea. Congrats on the launch All the best!
I have a few questions
1. How would this work in the context of B2C space where a small(but varying likely based on severity) subset of users reach out to customer support?
2. At my org, we don't really have the customer feedback data in a structured format(we dont use Gong etc) to feed to the model. What are the different integrations this supports?
@abhi_bansal21
1. B2C is indeed a different animal, we don’t currently optimize for it. I don’t think it’s because of a “subset” of users providing feedback as it’s always true, more as to the range of opinions and the way each customer value is determined which varies highly from B2B to B2C
2. Not having a structured tool, data or process can actually be ok. Feedback can flow in manually from any tool and through integrations like HubSpot or Slack that makes it easy to stay with them while collecting the feedback directly
This is a really nice implementation of AI features to assist in making product decisions. It seems like this would work well for a B2B company, but I wonder how effective it would be in the B2C space. For instance, I really like the ARR calculating feature, but I don't know how that would work in the context of a consumer product since there is no (significant) dollar amount tied to an individual user for many companies. Do you have the ability to create user cohorts in place of companies when determining ARR value?
Hey @product_at_producthunt - great questions!
We've seen a lot of need for B2B, and served it directly. You can still use it for B2C, but i don't think the current ARR magic specifically can be adjusted so quickly
Wow, incredible update! It's so amazing to see the vision coming to life in new, better ways. Congrats Wiz, Mor and team. This is a "must try" for all product teams. Anyone who isn't isn't missing out.
Landing page is pretty sweet! Kudo's to your designers.
Since your last launch - I'd love to hear how you've pivoted based on user feedback?
It seems ideal for PM's at larger companies w/a bunch of tools (rather than smaller companies w/2-3 tools.) Curious the size of company your typical user is at?
Nice launch! 🚀
Hey @esus - thank you! design credit should flow to @mitchbernstein he's an artist!
As for use feedback, we've talked to hundreds, in various sizes and indistries.
Usually tiny teams don't feel the pain as bigger ones.
Once you have many Sales, CS and PMs, once you manage many prospects/customers and features, things become unmanageable and that's where we think we'll shine
Would love to see what you think of it having tried it
Looks great!! always wanted to have all the context around product features / initiatives w/o losing myself in salesforce / etc. will definitely try this out !!
Cardinal (by Miro)