Productboard Spark is an AI agent built specifically for product management. It knows a team's product, customers and market context and applies it to the daily work of a product manager. Spark surfaces new opportunities each week, analyzes the full body of customer feedback with citations, drafts delivery-ready specifications, evaluates post-launch results against the original success metrics and writes release notes. Plans in Productboard include Spark access: Free at $0, Plus at $19 per maker per month, and Business at $59, billed annually, with a 14-day trial on Business.
Product managers, heads of product and product operations leads are the core users, from startup teams to large enterprises that already run feedback and roadmaps in Productboard. UX researchers and customer-facing teams contribute feedback, and engineering leads benefit from specs that include technical requirements found through codebase analysis. Spark suits teams that find generic AI chat tools lose context between sessions and want an agent with product background and strategy stored in one place.
Typical tasks include turning thousands of feedback notes and sales calls into trending themes and voice-of-customer reports, building a business case for an initiative, and writing a PRD or product brief in minutes rather than days. Specs can be pulled into coding assistants such as Codex or Cursor through MCP so engineers start from structured context. After launch, Spark connects to product analytics from tools such as Amplitude and Mixpanel and recent feedback to plan fast-follows. It also drafts team updates, status reports and enablement assets, adapting one write-up for different audiences, with edits reviewable inline and tracked in version history.
