Productboard 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.
"My biggest challenge used to be speed. Getting products out the door took too long, and sales didn’t always have the information or materials they needed when they needed them. Now, Spark is helping product move much faster."
CASE STUDY
Accelerated product brief creation and improved decision-making by leveraging customer insights and data to prioritize effectively and move from days of work to hours.
"Spark took us from week-long briefs to hours-and we’re more confident in every decision."
CASE STUDY
Improved user story quality and speed by leveraging context-aware AI to move from idea to execution faster with greater confidence.
"I’m writing user stories 30 - 40% faster and I’m far more confident in what we ship."
CASE STUDY
Cut release planning time dramatically and boosted cross-team visibility with real-time product insights.
"With Productboard, the entire release planning process was cut from 2-3 weeks to just a couple days because we are able to plan as we go."
High Tech
Tray.io uses Productboard to collect and collate all of the feedback coming in from internal teams in a single place.
Communications
Livestrom automates and simplifies product management tasks with Productboard.
High Tech
Kentico Cloud consolidates and contextualizes customer feedback to deliver a next generation CMS.
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A practical guide for product leaders on turning a growing volume of customer feedback into decisions. It covers how to collect, centralize, tag, and review feedback across a team, how to decide which themes matter most, and where AI helps or falls short.
PRODUCTBOARD
A recap of Hubert Palan's interview on Untrapping Product Teams. Covers three ideas from the conversation, focus over breadth, context over raw AI capability, and specs replacing code, and what each means for product leaders.
PRODUCTBOARD
Standard LLM prompting often introduces bias before analysis even begins. In contrast, our approach performs objective analysis first, extracting key verbatim quotes and reducing noise by up to 80% in lengthy transcripts and email threads. Questions and queries are applied second, ensuring the analysis is firmly rooted in source evidence.
PRODUCTBOARD
