ProductLift Prioritization

A feature prioritization tool that keeps the why beside the score

Rank feature requests with customer demand, revenue, product strategy and effort in view. Then move the winners to your roadmap without rebuilding the decision somewhere else.

Start prioritizing free See the module
✓ Real voter and revenue context✓ Four scoring methods✓ AI suggestions you can review
Prioritization view Live backlog
RequestImpactConfidenceEaseScore

Bulk CSV export

128 voters · 14 accounts

 8 9 4 288

Dark mode

214 voters · mostly free plan

 5 8 8 320

Enterprise SSO

36 voters · 71% enterprise

 9 7 3 189
Votes, segments and revenue stay attachedSorted high to low

Evidence before opinion

See everything that matters before you rank

Open a request and see who asked for it, which companies voted, how much revenue is represented and what your team already learned.

  • ✓Demand: votes and merged duplicates remain attached to the original request.
  • ✓Customers: inspect companies, plans, segments, MRR and LTV instead of treating every vote equally.
  • ✓Context: keep custom fields, linked posts and private team comments on the same item.
Request contextUnder consideration

Bulk CSV export

Customers need to export filtered feedback for quarterly planning and board reporting.

Voters

128

Companies

14

Enterprise

71%

MRR

$4,820

14 internal comments3 linked requestsStripe data current

A shared scoring language

Score requests your way

Use a familiar method, keep a manual priority for exceptions and compare requests in one backlog. The method supports the decision. It does not replace it.

RICE

Reach, Impact, Confidence and Effort for decisions with measurable reach.

See ProductLift with RICE

ICE

Impact, Confidence and Ease for faster scoring when reach is uncertain.

See ProductLift with ICE

MoSCoW

Must, Should, Could and Won't for release scope and stakeholder alignment.

See ProductLift with MoSCoW

Impact/Effort

Plot value against delivery cost to expose quick wins and costly bets.

See ProductLift with Impact/Effort

Need help choosing? Read the framework comparison.

AI prioritization

Let AI prepare the first pass

ProductLift uses your product vision and the request context to suggest priorities. You see the reasoning, review the inputs and keep control of the final order.

Start with context. Define the target group, customer need and business direction that should shape the backlog.

Review the draft. Treat suggested values as a starting point for the team, not an invisible decision.

Revisit when strategy changes. Keep the product vision current and review priorities against the new direction.

Prioritization view Live backlog

Product vision

Help SaaS teams turn customer evidence into a roadmap they can explain.

AI uses this direction and the request context to draft the first score.

Draft Prioritization factors

Needs review

Bulk CSV export

8 · 9 · 4

Repeated request with clear customer evidence

Dark mode

5 · 8 · 8

Broad demand and a smaller delivery path

Enterprise SSO

9 · 7 · 3

High impact for a narrow enterprise segment

More than a sorted list

Compare the backlog visually

A score tells you the order. A matrix shows the tradeoff. See which requests combine high impact with low effort, and where a large score still hides a risky bet.

  • ✓Spot quick wins and expensive projects.
  • ✓Use the same requests and scores as the backlog view.
  • ✓Explain the tradeoff without reading a spreadsheet aloud.
Prioritization view Live backlog

Prioritization visualization

Impact against Ease, bubble size shows Confidence

Ease Impact
Dark mode · 320
CSV export · 288
SSO · 189

Alignment without another deck

Make the decision together

The score is only useful when the team understands its inputs. Keep the discussion on the request and open the customer evidence when someone challenges an assumption.

1

Discuss privately

Use internal comments for tradeoffs, delivery concerns and stakeholder input without exposing the conversation publicly.

2

Inspect the voters

Open the people and companies behind a request. A feature with fewer votes can still matter more to your target segment.

3

Keep human judgment

Use a manual priority when strategy, risk or timing outweighs the formula. The evidence remains visible beside the override.

One request from signal to shipped

Turn a priority into delivery

Do not export a winner into a disconnected planning tool. Move the same request through roadmap, engineering and release while its history stays intact.

1

Collect

Customers submit and vote. Merge duplicates so demand accumulates on one request.

2

Prioritize

Review the evidence, score the request and discuss the tradeoffs with your team.

3

Plan

Move the winner to the roadmap and connect delivery work in Jira or Azure DevOps.

4

Close the loop

Publish the release and notify the customers who asked for it.

See the Jira integration →See the Azure DevOps integration →See the complete feedback loop →

Method library

Use the framework your team already knows

The module supports several ways to score. The linked pages show how each method works inside ProductLift.

RICEICEMoSCoWImpact/Effort
“
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.
Chris R.Chris R.Switched from Feedbear

FAQ

Questions about ProductLift Prioritization

Which prioritization frameworks does ProductLift support?+
ProductLift supports RICE, ICE, MoSCoW and Impact/Effort. You can also keep a manual priority on a request when team judgment should override a calculated score.
Does ProductLift prioritize with customer data?+
Yes. Votes stay connected to each request. User profiles, companies, segments and Stripe data add context such as plan, MRR and LTV before you decide what to build.
Does ProductLift use AI for prioritization?+
Yes. ProductLift uses your product vision and request context to suggest priorities. Your team reviews the reasoning and can change the inputs before acting on the result.
Can the product team discuss a priority privately?+
Yes. Internal comments keep tradeoffs and delivery concerns on the request without exposing that conversation to customers.
What happens after a request is prioritized?+
The same request can move onto the roadmap, connect to Jira or Azure DevOps, become part of a release and notify voters when its status changes.

Prioritization library

Choose a method, calculate a score, then apply it

This library connects every ProductLift prioritization guide, calculator, template, and product workflow. Start with the framework guide if you do not know which method fits your decision.

Learn the prioritization frameworks Prioritize inside ProductLift

Start and compare

Pick the right route before committing to a scoring model.

RICE

Balance reach, impact, confidence, and effort.

ICE

Score ideas quickly with impact, confidence, and ease.

MoSCoW

Classify requirements by what a release must, should, could, or will not include.

Other methods and tools

Use a visual matrix or a specialized model when simple scoring is not enough.

Put the evidence beside every priority.

Rank requests, explain the decision and move the winner onto your roadmap in one connected workflow.

Start prioritizing freeView pricing