Before
Spec meetings drag
Remote teams wait for meetings, docs, and handoffs while implementation capacity sits ready.
ReFeatOpen appAI-native product workbench
Build product with AI-native teams.
A workspace where humans set goals and AI helps turn them into product work: task trees, product context, follow-up tasks, and measurements that stay connected as the team moves.
R
ReFeat
Checkout Flow
List viewLive workspace
Checkout Flow
List / Board / Graph
Key
Title
Progress
Role
Assignee
CHK-12
Improve checkout conversion by 5% in Q3
0/2 finished
GGoal
AAri Morgan
CHK-13
Reduce payment form friction
1/2 finished
GGoal
JJin Lee
CHK-14
Ship one-page checkout UI
TTask
RRina Kim
CHK-15
Collect 10k qualified checkout sessions
MMeasurement
SSam Yoon
CHK-16
A/B test new flow against control
EExperiment
NNora Reed
Suggested
Add payment form regression testsCheckout form logic changed without coverage.
TTask
Review in panel
Suggested
Attach conversion telemetry eventThe goal needs a measurement point.
MMeasurement
Review in panel
The bottleneck changed
AI can build faster than teams can plan.
The hard part is no longer only implementation. It is deciding what should be built next, keeping an async team aligned, and making sure finished work still connects to the product goal.
Before
Tickets lose the why
Features move across a board, but the product intent and measurement context live somewhere else.
After
Goals branch into work
Humans set direction. AI and teammates turn it into connected tasks, follow-ups, and measurements.
The workflow
From goal to product work, without losing context.
101 / Intent
Humans set the product goal
Start with the outcome, metric, or customer problem. ReFeat keeps the why visible before the work branches into execution.
202 / Branch
Work becomes a living task tree
Features, implementation tasks, experiments, and measurements stay connected to the same goal instead of scattering across tickets and docs.
303 / Assist
AI proposes the next useful move
As the product changes, AI can suggest follow-up work, tests, measurements, and implementation details from the product context.
Product tour
One workspace. Three ways to move product work.
List
01Where goals become work
Use the list view as the operating surface for humans and agents. Goals, implementation tasks, measurements, and AI suggestions stay in one structured tree.
Board
02Move execution without flattening context
Track status like a normal product team, while every card still belongs to the goal that created it.
Graph
03Zoom out into the product map
See how decisions branch from intent: features, follow-ups, measurements, and experiments connected as one living system.
R
ReFeat
Checkout Flow
List viewLive workspace
Checkout Flow
List / Board / Graph
Key
Title
Progress
Role
Assignee
CHK-12
Improve checkout conversion by 5% in Q3
0/2 finished
GGoal
AAri Morgan
CHK-13
Reduce payment form friction
1/2 finished
GGoal
JJin Lee
CHK-14
Ship one-page checkout UI
TTask
RRina Kim
CHK-15
Collect 10k qualified checkout sessions
MMeasurement
SSam Yoon
CHK-16
A/B test new flow against control
EExperiment
NNora Reed
Suggested
Add payment form regression testsCheckout form logic changed without coverage.
TTask
Review in panel
Suggested
Attach conversion telemetry eventThe goal needs a measurement point.
MMeasurement
Review in panel
Product understanding
The workspace learns as the product moves.
ReFeat is designed for teams where agents read code, humans set intent, and product context improves with every task.
Code context
Repo-aware
AI can use repository understanding to suggest work that fits the actual product, not a blank chat window.
Task context
Tree-native
Follow-up work lands where it belongs: attached to the parent goal, feature, or measurement.
Async flow
Less meetings
Founders, PMs, and engineers can branch work from intent without waiting for every spec discussion.
Human control
Goal-led
AI expands execution, but the team still owns the goal, priority, and product direction.
Not another issue tracker
A product workbench for teams moving with agents.
Jira and Linear are excellent at tracking tickets. ReFeat is for the layer before and around the ticket: product intent, branching work, AI suggestions, and the shared map of what the team is learning.
Founding teams
Turn a north-star goal into executable product work without slowing down for another round of spec meetings.
Growth engineering
Keep experiments, follow-ups, implementation, and measurement attached to the same product intent.
AI transformation teams
Give agents a structure they can safely decompose while humans keep control of direction and context.
Ready when your team is