Sprig uses AI to transform product surveys into conversational data

Sprig, a five-year-old startup centered on creating sensible, contextually conscious in-app surveys for enterprises, earned an enormous vote of confidence final 12 months, securing $30 million in funding from distinguished enterprise capital corporations together with a16z and Accel.

Today, the corporate is saying the place a few of these funds went: A brand new characteristic Sprig calls AI Analysis for Surveys, which, because the title suggests, uses generative AI giant language fashions (LLMs) to intelligently comb by way of survey data and supply instantaneous insights to the corporate that performed the survey.

Surveys that may reply you again

To put it extra bluntly: Sprig’s AI Analysis for Surveys transforms survey data into a conversational AI product.

With it, you because the survey proprietor can ask your survey outcomes any conceivable query, and the AI will kind by way of them and try to reply with probably the most acceptable data, insights, takeaways or options — and this consists of qualitative survey data like open-ended textual content entries, not simply a number of alternative or quantitative solutions.

“You can ask Sprig AI to answer any custom questions about your survey data, and it will analyze responses across all of your survey questions to find the answer,” Sprig CEO Ryan Glasgow, wrote in a weblog submit in regards to the information.

The firm additionally introduced an expanded free plan, and new giant enterprise clients together with PayPal, Figma, Ramp, Peloton and Mixpanel.

“World-class product teams continue to choose our platform because they value their user experience and have found Sprig to be a mission-critical platform to differentiate their products in today’s competitive environment,” wrote Glasgow.

Building upon preliminary success

Sprig first made waves in 2020 with the launch of its in-product survey platform and Open-Text AI Analysis characteristic, which routinely teams open-ended survey responses (these questions that ask you to write about your expertise in a textual content field) into themes.

The characteristic was adopted rapidly by main enterprises together with Dropbox, Loom, Coinbase, Robinhood and Square. To date, Sprig has analyzed suggestions from greater than 6 billion product guests throughout tons of of high-growth know-how firms.

With the brand new AI Analysis for Surveys, Sprig takes it to the subsequent stage by analyzing whole survey datasets. Product groups can now:

• Review AI-generated survey summaries for prime takeaways with out guide evaluation
• Ask customized questions on their data and obtain AI-powered responses
• Explore new evaluation questions urged by Sprig’s AI based mostly on the survey outcomes to go deeper into their survey data and discover much less apparent developments. These findings can be utilized to enhance and differentiate a product quicker and in ways in which wouldn’t have essentially been even seen by human evaluation alone.

Addressing ache factors to development

Glasgow wrote in an electronic mail to VentureBeat: “AI Analysis for Surveys solves a common pain point for product teams looking to deeply understand and optimize a specific part of their product experience, from understanding why users are churning out of a product to figuring out how to boost the conversion funnel.”

In addition to rolling out AI Analysis for Surveys, Sprig is increasing its free plan to make its AI-powered product insights accessible to extra groups.

The free plan now consists of in-product surveys, session replays and Open-Text AI Analysis. Teams of all sizes can instantly begin utilizing Sprig and the brand new AI Analysis for Surveys characteristic set.

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