From product signal to a decision your team can use.
Productf turns recurring product work into named, reviewable functions. Start with a real signal, carry the evidence through the decision, and keep the outcome connected for the next move.
Browse the function catalogAVAILABLE TODAY
Workflows you can run now.
These are not future categories. They are concrete ways the current Productf function set can help teams investigate, decide, ship, and learn, with sources, confidence, and human review kept visible.
Understand what changed
Ask connected product and revenue data plain-language questions, then keep a sourced weekly view of the signals that matter.
f(Ask Data) + f(Weekly Pulse)Investigate a signal
Start with a spike or drop. Productf assembles baselines, similar incidents, hypotheses, and a recommended next move with confidence visible.
f(Anomaly Investigation)Shape the next bet
Turn a problem and its evidence into a defensible PRD, then surface failure modes while an idea is still cheap to change.
f(PRD) + f(Pre-mortem)Keep strategy honest
Frame roadmap work as a testable bet and check whether the decision is still backed by current evidence.
f(Hypothesis Writer) + f(Evidence Audit)Carry customer learning forward
Synthesize interviews and surveys into quote-anchored, confidence-tagged findings, then propose what belongs in the Brain.
f(Interview Synthesis)Move toward launch
Create a stage-based delivery project and review release readiness across explicit gates, owners, risks, and blocking items.
f(Gate Review) + f(Project Setup)THE FULL SCOPE
More than a short list of examples.
The examples above are a useful starting point, not the boundary of Productf. The wider function ecosystem covers the full product-work lifecycle, from understanding a market and shaping a bet to building, operating, and learning from what ships. New functions can be named, evaluated, connected to the right context, and composed into a team-specific workflow.
Find and explain signal
Measure movement, investigate anomalies, synthesize customer evidence, understand support patterns, and connect growth activity back to product decisions.
DATA · RESEARCH · SUPPORT · REACH · MARKETINGTurn evidence into a bet
Frame problems, generate and challenge concepts, write hypotheses, audit evidence, prioritize bets, and make release readiness explicit.
IDEATE · PLANNING · VERSIONCarry intent into execution
Move from approved product intent into delivery stages, design context, implementation-ready work, and quality checks that keep the original why visible.
PIPELINE · DESIGN · DEV · TESTKeep the rhythm moving
Surface blockers, summarize meaningful movement, coordinate owners, and turn recurring operational work into a visible cadence.
STANDUP · OPERATIONSMake the system compound
Keep instructions versioned, context connected, agent work reviewable, and the artifacts and outcomes from one cycle available to improve the next.
PROMPT · BRAIN · AGENTS · AUTONOMY · CONNECTORS · FILES · WORKBENCHPATTERNS BY CONTEXT
Start where your product work lives.
The same operating rhythm can support different environments. These patterns describe where Productf fits today and where we are building next.
Connect product intent to engineering context, delivery stages, release feedback, and the next decision.
Talk to usTurn AI-assisted product development into a visible, reviewable system rather than a collection of prompts.
Talk to usKeep engineering context connected to product intent, delivery stages, release feedback, and the next decision.
Talk to usCoordinate discovery, design, development, store release, and post-launch learning in one operating rhythm.
Talk to usPatterns for high-trust, regulated product work.
Join the waitlistPatterns for catalog, growth, operations, and customer experience.
Join the waitlistPatterns for complex, multi-party delivery.
Join the waitlistSTART WITH CONTEXT
Make the next product decision visible.
Join the Beta and see what a product system built for human judgment feels like.