Today, we're proud to launch Sprig AI Recommendations, the final step in our Sprig 2.0 vision. With Sprig AI as your product partner, you can now generate specific, actionable recommendations to achieve your goals. Sprig AI Recommendations empowers you to: ???Get instant, data-backed solutions to optimize your product. ???Make informed roadmap decisions with confidence. ???Boost key metrics with actionable, real-time insights. Whether you're trying to improve onboarding, increase conversion, or enhance usability, AI Recommendations provides a powerful way to know exactly what to do next in your mission to build products your users love. Start generating tailored solutions at scale—create a free Sprig account today! ?? Try it out here: https://lnkd.in/gpRixWcT
Sprig
软件开发
San Francisco，California 18,750 位关注者
All-in-one product experience platform empowering product teams to optimize their customer journey from start to finish.
关于我们
Sprig is an all-in-one product experience platform that empowers teams to optimize product adoption, retention, and satisfaction at scale. Next-gen companies like PayPal, Figma, and Dropbox rely on Sprig’s AI-powered platform to unlock their product’s full potential. Sprig is backed by Andreessen Horowitz, Accel, First Round Capital, and Figma Ventures.
- 网站
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https://sprig.com/
Sprig的外部链接
- 所属行业
- 软件开发
- 规模
- 51-200 人
- 总部
- San Francisco，California
- 类型
- 私人持股
- 创立
- 2019
- 领域
- Artificial Intelligence、Big Data、Customer Experience、User Research、User Experience、Customer Journey、Product Management、User Intelligence、product experience、Heatmaps、Surveys和Session Replays
产品
地点
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主要
获取路线
447 Battery St
US，California，San Francisco，94111
Sprig员工
动态
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As AI transforms the way we build products, don't let your customer's voice get lost in move. ?? At last month's ProductCon SF, our very own Cecilia Liu discussed how to leverage AI in a way that amplifies your customer's voice and enables you to build products for people, not data points. Click the link below to listen to her full talk ??
??Are you really listening to your users? Here’s why qualitative data matters more than ever in the age of AI. Cecilia Liu, Head of Product at Sprig, explains that while AI is transforming how we build products, we can’t forget the human side of the equation. ??Head to https://lnkd.in/dXwtjEXw to watch her ProductCon San Francisco's full talk! #ProductManagement #ProductCon #ProductLeadership #ProductConference #AIProductManagement #UserExperience
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The story of Sprig told by Aakash Gupta! Check it out below ??
Product Growth Newsletter and Podcast ?? | Helping PMs, product leaders, and aspiring PMs succeed
This founder left a well-paying job to solve a personal problem — now it’s a $330M company. Industry leaders like Figma, Notion, and Coinbase are already using it to maximize user feedback. Here's how Sprig went from a simple SDK to becoming a platform used by some of the best product teams in the world: (This analysis is based on 11 in-depth conversations, including interviews with 6 Sprig team members, 3 customers, and 2 competitors.) — ?????????????? ??: ?????? ?????????????? (????????) ?????? ?????? ?????????? ?????????????? (????????) Ryan Glasgow was a product manager Weebly (later acquired by Square) when he noticed a huge problem: Getting qualitative feedback from millions of users was painfully slow and clunky. Most PMs would’ve moved on, but Ryan decided to build a solution from scratch. They built an SDK with three rotating questions on quality, functionality, and usability. No targeting. No customization. Just raw simplicity. Square became their first big customer, validating their product with real-world use. — ?????????????? ??: ?????? ???????? ???????? (????????-????????) ?????? ?????? ?????????????????? ???????????????????????? (????????) While most startups race to launch, Sprig took a different approach. They spent two years refining the product, working with design partners like Dropbox and Robinhood. Every survey was custom-built, every piece of analysis verified by hand. In 2020, Sprig introduced event-driven architecture. This was a game-changer: teams could target surveys based on specific user actions, capturing feedback immediately after key experiences. By year-end, they were processing over 10 billion API interactions each month. — ?????????????? ??: ?????? ??????????-?????????????? ?????????????????? (????????-????????) ?????? ?????? ???? ???????????????????? (????????-??????????????) At that time, product research was expanding beyond researchers to PMs, designers, and engineers. Sprig responded with a wave of features: Figma integrations, video surveys, multi-language support, and more. Sprig had been building AI for years and today, their AI analyzes open-ended responses, groups feedback into themes, and even generates product recommendations. With this, AI at Sprig became more than a feature — it’s an engine for product insights. — ?????????????? ??: ?????????? ??.??: ???????????? ?????????????????????? (????????) ?????? ?????? ???????????? ???????????? In September 2024, Sprig launched Sprig 2.0, expanding beyond surveys with the vision to "Build for people, not data points." In the future, Sprig is aiming to build self-optimizing products that constantly learn from user behavior. With autonomous AI agents as PM assistants, Sprig’s vision is ambitious — and they’re already on their way with over 30K customers. — “But how do they build products?” “How did they get to a $330M+ valuation with just a 25-person product team?” You'll have to read the newsletter for that.
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The 2024 UX Tools Map by User Interviews is here! You can find Sprig in the Kingdom of Continuous Data Collection ??
?? Hear ye! Hear ye! M’researchers, m'designers, m'product-ers —the 2024 UX Tools Map has made its triumphant return! The only illustrated guide to the world of UX research software is back and better than ever with >800 tools ? (more than doubling last year's total) across every stage of the product lifecycle. See the ?? Principality of Product & Project Management, cross over to the Province of Visual Thinking & Design, and please don't forget to stop at the ?? Federated States of Study-Based Research along your journey. Make haste dear traveler ?? and start exploring now https://lnkd.in/eKpNqQ4e #UXresearch #ux #design #product #ai #uxtoolsmap
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Sprig转发了
Introducing Sprig AI Recommendations! Ramp, Dropbox, and Figma use it to identify conversion and adoption issues and how to fix them. ? For example: - Identified a confusing setup process and fixes to resolve - Found two issues in a newly released feature and suggestions to fix - Surfaced why certain user groups cancel subscriptions and identified feature gaps I'd love to get you onboarded. Shoot me a DM or book a demo on our website, and I'll get you set up to hit your product goals!
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We are just two short days away from our webinar with User Interviews discussing how to build a UX Tool Stack where Ben Wiedmaier sits down with Gordon Toon from Calendly. You won't want to miss this one! Sign up below ?? https://lnkd.in/gzNZ3Ta8
Building a UX Tool Stack
userinterviews.com
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?? Turn Product Discovery into a Continuous Advantage ?? Imagine a world where product discovery isn’t a one-time event, but a continuous journey—gathering insights, iterating, and improving with every user interaction. That’s exactly what Sprig’s Continuous Product Discovery templates are all about! With Sprig, product teams can: ?? Stay in sync with user needs and adapt faster to changes. ?? Gather real-time feedback across every stage of the product lifecycle. ?? Uncover actionable insights to fuel innovation and drive product success. Ready to see how continuous discovery can reshape your product strategy? ?? Discover more here: https://lnkd.in/gD9JWm4w
Continuous Product Discovery | Sprig
sprig.com
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Sprig转发了
Sprig's very own Tatyana (Ana) Gubin is leading a lesson in partnership with Maven on Wed. Nov. 20th at 10am PT. The lesson will cover when and why AI can be a reliable ally for product managers and look at its most valuable applications for problem discovery, feature prioritization, and full-cycle development. Register now to save your spot!
AI-Powered User Research for Product Managers
maven.com
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Three great November events coming right up! Be sure to mark your calendar ?? 1?? On 11/20 at 11 AM PT, be sure to join Cecilia Liu from Sprig, Ryan McCrary from RudderStack, and Roger Liu from Novo as they share 8 Tips to Create a Modern Data Stack! Sign up here: https://lnkd.in/g3DWxk5A 2?? Also, on 11/20, Sprig's very own Tatyana (Ana) Gubin will be leading a Lightning Lesson on how to use AI-Powered User Research as a Product Manager. Hosted by our friends at Maven! Sign up here: https://lnkd.in/gxKHR8K7 3?? On 11/13 at 11 AM PT the team from User Interviews will sit down with Gordon Toon from Calendly to discuss building a UX Tool Stack. Sign up here: https://lnkd.in/gzNZ3Ta8 Interested but unable to attend live? Don't worry, signing up also gives you access to a recording. ??
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Replays summarized with AI ??? Get directly to key moments with Sprig’s AI-powered session replays! No more endless video reviews—Sprig’s AI analyzes session replays to quickly uncover key themes and behavioral patterns in your users’ interactions. With AI-driven replay summaries, product teams can: ?? Identify friction points in the user journey faster than ever. ?? Pinpoint areas for improvement without watching hours of replays. ?? Focus on what matters - Uncover the trends that drive product success. Unlock deeper product insights in less time. Let Sprig’s session replays help you make data-driven product decisions based on what users are truly experiencing. Learn more here: https://lnkd.in/gwv-UYmt
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