Dopt is joining Airtable https://lnkd.in/gM6AeT7w
关于我们
Dopt is a product adoption platform built for modern teams, not another janky no code tool. Companies like Superhuman, Productboard, and Reforge use Dopt to quickly ship product onboarding, education, and AI-powered in-product assistance. Dopt makes building targeted & personalized experiences simple, and gives you prebuilt React components along with flexible SDKs that you can use to build totally custom experiences.
- 网站
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https://www.dopt.com/
Dopt (acquired by Airtable)的外部链接
- 所属行业
- 软件开发
- 规模
- 2-10 人
- 总部
- Oakland，California
- 类型
- 私人持股
地点
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主要
获取路线
1528 Webster St
US，California，Oakland，94612
Dopt (acquired by Airtable)员工
动态
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Dopt (acquired by Airtable)转发了
Messaging users in-app can be fraught — it's all too easy to spam users with irrelevant messages. We want to change that. We're working on a new feature we're calling channels. Channels will enable you to build in-app messaging channels directly into your product once with our SDK. Then, anyone on your team (PMs, Marketers, Growth) can launch messages through it without a developer. Controls like targeting, priority, and timing will ensure users get a quality experience. And like the rest of Dopt, you can use your own components and build the channel seamlessly into your product's experience. With channels you could build reusable modals, home page banners, carousels, and embedded cards to reach users with announcements, alerts, and relevant nudges. We're super pumped about this next step in our platform! If you're interested in trying it out, sign up for early access — link in the comments.
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Watch our co-founder, Phil, share best practices on how to build great product-led onboarding during his Reforge event tomorrow. Sign up below!
Join me tomorrow for the Ultimate Product-led Onboarding Playbook live event with Reforge! I'll be sharing the onboarding playbook I've developed from my time working with 100s of companies while at Dopt and leading Growth Design at Dropbox. Almost 3,000 people have registered already. Sign up link in the comments!
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?? Announcing our new AI-powered, in-app help hub component! ?? Build on-demand help and AI answers directly into your product to help users find resources and unblock themselves. There are three parts to the help hub — quick links, search, and ask AI — all bundled together into a pre-built, customizable component you can drop into your product. Try a live interactive example on our website, link in the comments!
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Check out our fresh new homepage ?
? We just updated our homepage ?. I'm really excited about this evolution. Here are a few highlights: Keeping it light, but real Our competitors are mostly tools that feel clunky and deliver clunky experiences. We wanted to stand out, so we made the H1 and H2 copy super easy to read and a bit cheeky without sacrificing what we are and why we're better. I love where we ended up and it feels so true to our brand. Show > tell The use case section does so much. ?? It answers what we are — an all-in-one growth experience platform — by showing the use cases rather than saying it. ??Each image is an experience that our customers built with Dopt, highlighting our stellar set of customers we're so lucky to be working with. ??The experiences look and feel like the customer's product, showing that you can build the most quality growth experiences using your components with Dopt. It also highlights how flexible we are. PLG ??SLG Schedule a demo. That's right, talk to a real person. Many of our prospects reach out to us before and during their self-serve journey. We wanted to make it super easy to grab time with us. Real product imagery When leading a redesign of Dropbox's website I learned how important it is to use real product imagery to show what the product is and build trust that the product is quality. Sounds intuitive, but it's often done so poorly or missed entirely. Our product image does a ton of heavy lifting, showing our flow view, all the components we support, detailed flow analytics, etc. The image is way better than this paragraph ??. And there we have it! Let me know what you think.
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?? Check out an interview with Phil, our CPO, and Karthik, our lead engineer, about how we built AI Assist on the Building with AI podcast. In the interview, they dig deep into: ?? How the product and design thinking helped us create "promptless" in-app AI assistance, moving away from traditional chatbot experiences ?? Leveraging in-product contexts, such as UI screenshots, to deliver highly relevant and context-aware support ?? Technical details about the opportunities and challenges of building multi-modals ?? How product, design, and engineering worked together to deliver AI Assist and how that's different than building non-AI features Links to the full interview in the comments!
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Check out our latest example: AI assistance built directly into users' workflows to help them understand & resolve errors they encounter. You can play with it on our examples page https://lnkd.in/gK9xsvzr
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Check out our latest interactive example: AI Assist powering an "Explain anything" mode. You can now ask follow up questions too! https://lnkd.in/d2ibfxKx
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Check out how ZenML is using Dopt to build their onboarding hub! ?? how it's seamlessly built into the product, provides structure to the getting started experience, and resources for help. You can read a breakdown of the onboarding hub pattern on our blog, link in the comments!
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?? Announcing AI Assist! ?? Unblock your users and help them succeed with remarkably relevant in-product assistance. AI Assist automatically crawls your docs and uses AI to understand your users’ in-product context to deliver personalized and contextual assistance that helps your users succeed. This isn’t yet-another-chatbot, it’s built seamlessly into your product. The user doesn’t even have to ask a question! With AI Assist, you can build: ?? Explain anything — Let users point at anything in your product to get relevant help. If they want to learn more, they can ask a follow-up question. ? Proactive error assistance — Automatic help any time a user sees an error ?? Contextual help hub — Surface relevant docs based on where the user is and what they’re doing. ?? And more — Drop in our React components to get started quickly or build completely custom assistance with our SDKs. Get up and running for free in less than 20 mins. We're live on Product Hunt! We'd love your support — link in the comments!