About
Most product teams do not have a customer feedback problem. They have a continuity problem. Useful evidence is scattered across notes, feedback tools, calls, and follow-up threads. Product Signal is built to turn that fragmented input into a system teams can actually operate every week.
Who It Is For
Product Signal is built for B2B SaaS product teams that want stronger discovery without turning discovery into a scheduling exercise. It fits teams that already have customer signals coming in, but need a better way to target outreach, consolidate evidence, and keep feedback useful over time.
What It Solves
Instead of leaving feedback trapped inside separate tools, Product Signal links signals to the right people, companies, and pains. That gives teams a clearer map of customer context and a better way to decide who to reach out to, what to ask next, and what patterns are becoming real.
Why It Feels Different
Surveys blast generic questions to a large list. Product Signal sends targeted, contextual questions to specific customers based on what they've already told you.
Research ops tools help manage formal studies. Product Signal runs discovery as a continuous background process — no screeners, no scheduling.
Feedback tools organize what comes in. Product Signal reaches out to fill the gaps — proactive discovery, not passive collection.
What Exists Now
The site now shows both how Product Signal thinks and how it is evolving. The blog is where we explain the operating model. The changelog is where we show what has actually shipped, from Productboard ingestion to AI-generated outreach grounded in a user's feedback history.
If you already have customer signals coming in, we can show you how Product Signal turns them into targeted outreach, linked evidence, and a clearer customer graph.