With today’s start of Productboard AI 2., featuring new completely-automated feedback categorization, genuine ongoing products discovery is last but not least within just attain. Now you can build what consumers truly have to have, boost product or service manager productivity, and ship even quicker with the next technology of AI for merchandise teams, totally integrated into your item management system.


Several many years ago, when we established out to construct the first product management platform for client-centric solution groups, one particular ability stood out the most in our early demos — the potential to not only centralize all your product or service suggestions streaming in from lots of resources, but emphasize unique insights and link them to related characteristic thoughts.

Above time, we have heard how this has been sport-changing for product groups significant about tackling their customers’ biggest requirements. We have also been keenly mindful that even with the help of a resolution like Productboard, becoming really buyer-centric requires a sizeable time financial commitment. Only comments that gets reviewed can be acted on. As responses volumes keep on to increase, it is been more and more demanding to remain on top of it all, and solution teams that still have their feedback scattered throughout tens of units never stand a chance.

Now all this adjustments with the introduction of Productboard AI 2., featuring completely-automatic opinions categorization. It is a important milestone in our longstanding vision to allow steady item discovery, no subject how much comments you have. And it goes beyond monitoring superior-degree opinions traits to distilling actionable insights that instantly element into everyday decision-producing all around certain functions.

Productboard AI can now work continuously in the background linking user insights to related feature ideas.
Productboard AI can now automatically connection opinions to feature ideas

A prosperity of consumer insights behind each and every characteristic

There is been a good deal of hoopla about AI recently, so allow me get straight to the issue on how Productboard AI is able to categorize your feedback in a notably handy way, and why it’s so distinct from what you can do with a generic AI software.

Once an admin has enabled Productboard AI and configured insights vehicle-linking, it will run in the background, constantly linking consumer insights to relevant attribute ideas. New responses is analyzed as it arrives, and any time you develop a new attribute plan, Productboard AI finds and hyperlinks any relevant consumer insights.

Auto-linking feedback to features by analyzing each feature's name, description, and linked insights
Evaluating responses to each feature’s title, description, and connected insights

From each comments take note, you will see all the features it’s been joined to. And from each characteristic, you will see which insights have been linked by AI. Obtain an perception that’s not so pertinent to the attribute at hand? You can conveniently unlink it, or hyperlink it to a distinct aspect.

The worth of having far more connected person insights

When much more person insights are joined to element strategies, numerous Productboard abilities become that much extra beneficial. Person insights vehicle-linked by AI promptly issue into scores you can use to prioritize features by their impression on your buyers and business.

Sort features by scores that factor in insights linked by AI
Form features by scores that aspect in insights linked by AI

Linked insights are also right away included into any AI summaries or “Ask AI” responses, which will preserve you a good deal of time when you’re creating your next characteristic brief. No far more manually summarizing comments themes or listing suffering details centered on tens or hundreds of insights linked to a element! It is in no way been less complicated to grasp what customers genuinely want and share that context with collaborators.

Summarize user needs based on insights linked by AI
Instantly summarize consumer requires for any characteristic concept

With much more insights linked to options, you will also have a much more exact image of just who wants what. That’s invaluable when you are filtering your roadmap to see just all those features requested by a certain VIP consumer, minutes before your following phone. It also helps near the loop with all the appropriate end users when you go forward with a element strategy or set it dwell.

Close the feedback loop with all the right users
Near the responses loop with all the correct people

Clients who joined our insights vehicle-linking beta are presently reporting sizeable enhancement in the volume of feed-back they are ready to approach and the selection of insights they have readily available. It’s not just that solution administrators are preserving several hours examining comments. Overall teams are able to speed up their operate by relocating from plan by way of discovery to shipping and delivery in substantially a lot less time.

Obtaining extra consumer insights on-hand increases assurance in prioritization and in general item strategy

Totally integrated into your products system

Insights automobile-linking joins a suite of current Productboard AI abilities that are so impressive for the reason that of the unique information sets they run on, which only exist alongside one another in Productboard. You simply cannot just tab in excess of to ChatGPT to question it what options your shoppers need to have the most! With all your client responses and solution facts in a single system — now intelligently interconnected — Productboard AI can provide insights that right tell day-to-day product selection-generating.

We have massive tips for what to deal with future, together with AI capabilities that will provide a lot more than just the product crew, aiding you unite your entire company all-around wherever you’re main your merchandise. Have an plan of your very own? We’d really like to listen to about it.

We’ll be monitoring your feed-back in our team’s Productboard, with a bit of support from AI.


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