Unblock users and help them succeed with assistance that's on-demand, contextual, always up-to-date, and built seamlessly into your product. This isn’t another chatbot. It’s in-product AI that actually works.
Dopt team is on fire 🔥 we're using Dopt to manage in-app release notifications and onboarding flows. The rate they're iterating and shipping is phenomenal and excited to see this latest iteration!
@berkaym thanks, we'd love to know what you think!
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Congrats @phil_vander_broek and the entire Dopt team 🚀✨ This is a HUGE milestone and progress for the self-serve onboarding industry.
I’ve been recently asked by many teams (including companies like Grammarly) what the future of in-product education can look like with AI, and this is the exact answer.
Keep doing a great job 👏
@kate_syuma thanks so much! I'm so excited to hear that this approach resonates with you and the companies you work with!
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Hey @phil_vandermeer and the Dopt team,
I tried your feature, and really liked it. I think it fills a great gap. It's fascinating that artificial intelligence can be used so cleverly and efficiently, and doing this without any effort is truly thrilling. Aside from all the beauty the feature provides, it's nice that even our available docs are made accessible to the user so cleverly, and this is done on demand, which is a wonderful thing.
Thanks. Best of luck to you.
@alper_saglam thanks for being an early user and for the helpful feedback you gave us in our Slack community! It helped us improve our product onboarding to AI Assist before this launch 😄
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Congrats on the launch @phil_vander_broek@alonbartur@joemckenney! Amazing to see how your vision continues to evolve with this latest product to accelerate user adoption and education.
This is a game changer! I spend way too much time handling support questions and while it's useful to talk to users been trying to figure out how to scale myself / our docs and this seems like it'll do just that
@francistogram we'd love your feedback once you've had a chance to try it!
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🔌 Plugged in
Incredible launch - congrats to the Dopt team 🚀 At Airtable and Pinterest, we always found that in contextually-aware assistance showed large gains over generic approaches. The challenge has always been the effort required to build these experiences. AI Assist solves this with its smart approach to crawling docs. Can't wait for more teams to get their hands on this!
👋Hey Product Hunt! Product designer at Dopt here to answer any questions about AI assist or Dopt in general.
This was quite a journey for us to launch and I'm so proud of the team for getting this out the door. I'm excited to see what others will create with AI assist, but most recently, I've been working to design and build out our very own usage of AI assist and it's been quite fun.
Thanks for all the support!
Congrats on the launch!
I've found that onboarding users within the product is often a pretty painful painful process. Is this a product that will help with that aspect as well?
@soumilrathi Yes! Dopt started out helping teams build better product onboarding! We provide pre-built React components like checklists and tours, flexible SDKs to build any type of onboarding, and a powerful platform that handles things like targeting and personalizing. You can learn more at our website! https://www.dopt.com/
Hey Product Hunt,
Dopt's CEO here, we couldn't be more excited to get AI Assist into folks hands today.
We've seen teams struggle to build effective product education.
The reality is that incredibly contextual help _is_ dramatically more effective at get users unstuck, there just hasn't been a good way to effectively do it.
The options today aren't great: spend a ton of time building and maintaining surface area for your in product education, or bolt on a chatbot that annoys users and rarely resolves their issue.
We've been working with a lot of teams over the last few months trying to figure out how we might be able to use AI to solve this product education problem. We've been absolutely blown away by how well automatically capturing product context and using vision models works.
Users can get thoughtful, contextual assistance wherever and whenever they need it, and you can build it deeply into your product workflows (like automatically offering users help in context when they run into an error).
Higher quality experiences, happier users, far less effort, and metrics moving in the right direction -- what's not to love :)
This was a huge, whole team effort. From inception to launch in < 3 months.
We'd love to hear what you think!
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