WHO IT'S FOR
Built for the people who own the roadmap.
Same engine, framed for the decision you have to defend.

Product Managers
Walk into planning with a ranked list, not a wishlist — and a reason for every line.
✓ Prioritize by impact, not volume
✓ Kill low-value requests with evidence
✓ Cut prep time before every review

Product Leaders
Defend the roadmap to execs with KPI math — and show the impact after you ship.
✓ Tie every bet to revenue and retention
✓ Align product, CX, and leadership
✓ Report impact the board believes
Founders & CX leaders

Keep the team building on what actually moves retention and growth.
✓ Turn support volume into direction
✓ Close the loop with customers
✓ Spend limited eng time where it pays
WHY FEEDFRWD
A decision engine for product teams.
Collecting feedback is easy. Turning it into a defensible decision isn't.
Collecting feedback is easy. Turning it into a defensible decision isn't.
THE PROBLEM
Product teams don't lack feedback.
They lack certainty.
Thousands of tickets, calls, and survey responses pile up but none of them tell you what will actually move the business. That's the gap FeedFrwd was built to close.
RANKED BY IMPACT
Ranked by business impact, not upvotes
01
Every signal is scored against the KPIs you report on — churn, NRR, activation — so the loudest request never outranks the most valuable one.
02
AI tuned to your KPIs — and it shows its work
EXPLAINABLE AI
Every recommendation maps to a KPI you chose, with the signals and reasoning laid out in plain view, never a black box.
Proof, not promises
03
CLOSED-LOOP PROOF
Estimate the KPI lift before you build, then measure the real outcome after release. Close the loop and make impact undeniable across the company.
We kept watching strong product teams drown in feedback and still guess what to build next. FeedFrwd is the system we wished we'd had — every decision ranked by impact, and provable after you ship.
Eva Kapitany
Co-founder & CEO, FeedFrwd
"
HOW IT WORKS
From scattered feedback to a decision you can defend.
Every signal is consolidated, scored against the KPIs you actually report on, and proven against the outcome it drove — so every call comes with its evidence attached.

STEP 01 — CONSOLIDATE
Every signal in one view
Pull feedback in through an in-app widget and native CX integrations, so every customer voice lands in a single, intelligent view.

STEP 02 — DECIDE
Thousands of inputs, a short list of bets
The model scores every theme against your KPIs and hands back 5-10 high-impact recommendations, each tied to the outcome it should drive.

STEP 03 — PROVE
Make impact undeniable
Estimate KPI lift before you act, then measure the actual outcome after release — impact made visible to the whole company.
These figures describe how FeedFrwd works today, not a customer survey. We're pre-launch, and we won't fake results.
BY THE NUMBERS
FeedFrwd compresses thousands of scattered signals into a short, ranked list you can actually act on every item tied to a metric you own.
Less noise in.
Fewer, sharper bets out.
~1 hr
from CSV upload to your first ranked priorities
1:1
every recommendation mapped to a KPI you chose
5–10
high-impact bets returned — not a 200-line backlog
12K+
signals consolidated into one ranked view
A decision engine
WITH FEEDFRWD
Prioritization: Ranked by business impact, scored to the KPIs you own.
Memory: Remembers your KPIs, themes, and past decisions.
Evidence: Every recommendation traces back to its source signals.
Data & setup: Feedback flows in continuously and re-ranks itself.
Team consistency: One shared, ranked view for PM, CX, and leadership.
Proof of impact: Projected lift before you build, measured outcome after.
DIY WITH CHATGPT, CLAUDE, ETC.
A general chatbot
Prioritization: Generic ordering with no link to your metrics.
Memory: Session-based, forgets last month's feedback.
Evidence: A confident answer with nothing to back it up.
Data & setup: You paste data in by hand, every single time.
Team consistency: Everyone prompts differently and gets different answers.
Proof of impact: No before/after, you never learn if the call was right.
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