For Product Managers

Stop Prioritizing by Gut Feeling. Let Data and Users Decide.

Name: ProductLift
Brand: ProductLift
Price: 19 USD
Availability: InStock
Rating: 4.9 (110 reviews)

Collect feedback from every channel, score features with RICE, ICE, or AI, align stakeholders with a shared roadmap, and automatically notify users when you ship what they asked for.

4.8 on G2

6,000+ teams

4 prioritization frameworks

Try the Live Demo

from 124+ reviews

AI prioritization dashboard showing feature scoring

How It Actually Works

From scattered feedback to a prioritized backlog in four steps.

Feedback arrives from everywhere

Users submit through your board, in-app widget, or email. Your team adds requests from sales calls and support tickets with one click. Everything lands in one backlog.

Feature requests with vote counts and scoring

You score and prioritize with data

Apply RICE, ICE, MoSCoW, or let AI rank your backlog against your product vision. Stripe shows the revenue behind every vote. No more gut feeling.

Roadmap with In Progress and Next columns

Stakeholders see the plan

Share your public roadmap with users and stakeholders. They see what's planned, in progress, and shipped. The "what are we building next" meeting gets shorter.

You ship and close the loop

Move it to Shipped. Every voter gets notified. It appears in your changelog. The feedback loop is closed without you writing a single update email.

What Changes When Product Managers Use ProductLift

Before

With ProductLift

Spreadsheets full of feature requests that nobody maintains

A living backlog where users vote and AI scores every item automatically

Prioritization meetings where the CEO's pet feature always wins

RICE, ICE, and MoSCoW scores backed by real user votes and revenue data

Stakeholders asking "what's the status of X?" every week

A shared roadmap that updates itself and notifies subscribers at every status change

User research scattered across Notion, Google Docs, and Slack

Every piece of feedback tied to a user profile with MRR, plan, and vote history

You ship a feature and forget to tell the people who asked for it

Automatic notifications to every voter when their request moves to Shipped

What You Can Do With This

AI prioritization with product vision scoring

Let AI Score Your Entire Backlog

Define your product vision once. AI analyzes every request against your vision, user demand, and strategic alignment. It recommends what to build next so you spend less time debating and more time deciding.

Impact-effort prioritization bubble chart

Use Frameworks That Actually Work

Built-in RICE, ICE, MoSCoW, and Impact-Effort scoring. Combine framework scores with vote counts and Stripe revenue data. Export the results for stakeholder presentations or use the visual charts directly.

Segment Feedback by Any Dimension

Filter your backlog by user segment: enterprise vs. SMB, free vs. paid, churned vs. active. See what percentage of each segment voted for a feature. Make decisions with the full picture.

6,000+

Product teams using ProductLift

Built-in prioritization frameworks

Languages supported out of the box

What Product Managers Say After Switching

Sebastian F.

Entrepreneur

This app will help you connect with your users and gather feedback like never before. The UI is clean and focused. The different pages and forms can be fully customized. Ruben is an amazing developer and entrepreneur with a proven track record. ProductLift is going places and you should get onboard.

Aaron Dye

An excellent product with equally excellent support! Everything just works, and when I had questions, the team was incredibly responsive.

Timothy M.

Product Manager

This tool is literally a needle in a haystack. I was using Frill, and this doesn't even compare. The user interface, the way it lays out — so amazing. Also amazing support team!

Ben

Product Owner

Helped us quickly move away from our antiquated spreadsheet to a user-interactive system. User feedback is now collected in real-time. Support has been super speedy!

Marco

Based in Europe, ideal for privacy-conscious customer interaction. Constant improvements by Ruben together with thorough support make ProductLift a solid and future-proof choice.

Chris R.

Founder

By far the most customizable of all the feedback tools and much better than Feedbear. Developer is super responsive and support has been great. Highly recommend!

How Product Managers Use ProductLift Every Day

Feature Prioritization

Score your entire backlog with RICE, ICE, MoSCoW, or AI. Combine votes, revenue data, and effort estimates into one score. Share the results with stakeholders and align on what to build next.

Stakeholder Communication

Replace the weekly status deck with a shared roadmap. Stakeholders check progress on their own schedule. Create board views filtered for executives, engineering leads, or customer success.

User Research Consolidation

Feature requests from support tickets, sales calls, user interviews, and in-app feedback all land in one backlog. Every request is tied to a user profile with real customer data.

Release Communication

Ship a feature, move it to Done, and it becomes a changelog entry. Every voter gets notified. Add it to your knowledge base with AI-generated documentation. One action, three outputs.

From Idea to Shipped Feature

One platform for the entire product lifecycle. Each step feeds the next.

Feedback board with feature requests, voting, and submit form

Collect Feedback

Users submit feature requests and vote on priorities.

Product roadmap with In Progress, Next, and Later columns

Plan on Your Roadmap

Drag items to Planned. Voters see the status change.

Changelog with categorized bug fixes and feature announcements

Ship and Announce

Move to Shipped. It becomes a changelog entry. Voters get notified.

Knowledge base with article hierarchy and table of contents

Document It

Generate a help article from shipped features. AI writes the draft.

Before I built ProductLift, I was the product manager who kept a spreadsheet of feature requests and a Notion doc of priorities. Every sprint planning meeting, someone would ask "but what do users actually want?" and I would scroll through support tickets trying to find the answer.

ProductLift gives you that answer in seconds. Real user votes, real revenue data, AI scoring against your product vision. You walk into the prioritization meeting with data, not opinions. And when you ship, every user who asked for it finds out automatically. That is the feedback loop product managers have always wanted.

Ruben Buijs

Founder of ProductLift

How Product Managers Use Data to Decide What to Build

The hardest part of product management isn't building features. It is deciding which features to build. Every stakeholder has an opinion, every customer has a request, and your backlog grows faster than your team can ship. Without a system, the loudest voice wins.

Frameworks that work together: ProductLift includes RICE, ICE, MoSCoW, and Impact-Effort scoring. Each framework combines your team's effort estimates with real user vote data and Stripe revenue metrics. You aren't scoring features in a vacuum. You are scoring them against what your actual users and paying customers want.

AI that understands your vision: Define your product vision once in ProductLift. AI analyzes every item in your backlog against that vision and ranks them by strategic alignment, user demand, and revenue impact. When a new request comes in, AI scores it instantly. Your backlog stays prioritized without manual work.

Alignment without meetings: Share your prioritized roadmap with stakeholders, executives, and engineering leads. Each group can have their own filtered view. When priorities change, the roadmap updates in real time. The weekly status meeting becomes a five-minute check-in because everyone already knows the plan.

Frequently Asked Questions

How is this different from a Jira backlog?

Jira is built for engineering execution. ProductLift is built for product discovery and prioritization. It collects feedback from users, scores features with product frameworks and AI, and closes the loop when you ship. ProductLift integrates with Jira via two-way sync, so your prioritized items flow into Jira for development.

Which prioritization frameworks are included?

RICE (Reach, Impact, Confidence, Effort), ICE (Impact, Confidence, Ease), MoSCoW (Must, Should, Could, Won't), and Impact-Effort matrix. Each framework combines your scoring with real user vote data and Stripe revenue metrics. AI prioritization scores items against your product vision automatically.

Can I control what stakeholders see on the roadmap?

Yes. Create different board views filtered by criteria. Show executives a high-level strategic view while engineering leads see the detailed backlog. Keep internal items private and share only what you want externally.

How does the AI prioritization work?

Define your product vision in ProductLift. AI analyzes every item in your backlog against that vision, user demand, and strategic alignment. It recommends what to build next and explains why. You can accept, override, or use the AI score alongside your framework scores.

Can I add feedback on behalf of users?

Yes. Vote on behalf of users from sales calls, support conversations, or user interviews. The vote is attributed to the customer so you maintain accurate demand signals. Internal comments let your team add context that customers can't see.

Does it integrate with my existing tools?

Yes. Jira two-way sync for development workflows, Slack for activity notifications, Stripe for revenue data, and Pabbly Connect for 1,500+ app automations. REST API and webhooks are available for custom integrations.

Is there a free trial?

Yes. 14-day free trial with full access, no credit card required. Plans start at $19/mo (billed annually) with AI prioritization, Stripe integration, and white-label branding included.