Productboard Spark: AI built for PMs. Now available & free to try in public beta.
Try SparkProductboard Spark: AI built for PMs. Now available & free to try in public beta.
Try SparkProductboard gives product teams a single source of truth for customer insight—bringing feedback, context, and trends together so teams can uncover what matters and build with confidence.
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See how Vermeer fostered cross-functional collaboration, aligned teams to company goals, and visualized progress with Productboard.
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See how Relativity increased their collection of product feedback and aligned cross functional teams with Productboard.
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Stronger business-wide alignment, maximum efficiency, and clear focus. Autodesk’s Building & Infrastructure Design division delivers quickly on the right customer needs across the portfolio.
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See how Zapier used Productboard to scale and streamline product operations.
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Learn how Salesforce's Commerce Cloud team reduces risk, improves efficiency, and saves time with Productboard.
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Strengthening customer loyalty, getting the right products (and messages) to market faster – see all 6 reasons why Canto’s switch to Productboard is paying off.
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Fully remote and customer-centric, Firstbase uses Productboard to streamline product processes, easily aggregate feedback, and strengthen async collaboration. See how.
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ComboCurve now makes the right bets, maximizes dev resources, and enhances customer-centricity with help from industry experts and a purpose-built platform
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LeanIX uses Productboard to standardize feedback collection and information sharing, improving product communications across all levels and enhancing the customer experience as the company scales globally in enterprise architecture management.
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With Productboard, PayFit teams have built more transparent product management processes, improving collaboration and delivering a better customer experience.
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See how AI product brief creation with Productboard Spark helped BigChange turn customer insights into validated briefs in hours, not weeks, with less review friction.
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The Claude Code leak revealed why harness engineering—not models—drives reliable AI products. Learn what it means for product managers and AI strategy.
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Discover how to use AI for product gap analysis by synthesizing feedback, identifying unmet needs, and prioritizing opportunities with Productboard Spark.
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