Pace.ai

Data Backed Product Decisions

Build what customers will use, renew for, and buy

Pace connects customer problems, product behavior, account context, and revenue so product teams can see which decisions create the greatest customer and commercial impact.

See how it works

Built forChief Product Officers, Product, Product Operations, Engineering, Customer Success, and revenue teams

ProductEnhancements · 41 themes

What customers ask for, weighted by what they pay. Mined from calls, tickets and notes, not collected in a form.

Bulk approval workflow

Workflows → Approvals · 18 accounts · first seen May
$1.26Mrising
What was actually said

“every time we run the quarterly close I approve the same forty items one by one. can it just… batch?”

Northstar Cloud $240K Call Sep 2

“we have four people working the same approval queue because there's no bulk action.”

Meridian Health $410K Ticket Aug 28
Promote to a featureTell these 18 when it shipsGenerated · theme grouping

Export a report without asking support

Analytics → Report builder · 14 accounts · first seen Feb
$840Ksteady

EU data residency

Platform → Regions · 6 accounts · first seen Jun
$610Krising

Second workspace on one contract

No feature to attach to · pricing question · 5 accounts
$390Krising

Illustrative product interface

Valuable outcome

Direct product investment toward measurable customer and commercial value

See which problems repeat, how severe they are, which customers are affected, and what revenue is protected, unlocked, influenced, or placed at risk. Build a roadmap from evidence, then measure whether delivery created the intended result.

01

Commercial importance

Product capacity is scarce, so every priority carries an opportunity cost

Incomplete evidence can direct months of work toward limited adoption while urgent customer problems threaten renewals and deals. Commercial context protects engineering capacity and aligns the roadmap with outcomes customers value.

Why the process breaks

Customer evidence loses its meaning before it reaches the roadmap

Needs are heard continuously, but the evidence is scattered and stripped of account, usage, and revenue context as it moves across teams.

01

Feedback is fragmented

Requests live in CRM notes, calls, tickets, surveys, messages, and memory.

02

Evidence becomes votes

A request count treats every customer, severity, and commercial situation as equal.

03

Revenue is disconnected

Product cannot see which decisions protect renewals, unlock deals, or affect key segments.

04

Delivery closes the ticket

Teams rarely measure adoption, customer outcome, or commercial impact after release.

The Pace approach

Pace creates a complete evidence chain from customer problem to product impact

Pace synthesizes requests, complaints, conversations, tickets, usage, deals, renewals, and lost opportunities into structured product opportunities connected to affected accounts and revenue.

01

Collect

Bring customer evidence from every relevant source into one structured system.

02

Understand

Group related evidence into problems, needs, requests, and opportunities.

03

Quantify

Connect the opportunity to accounts, usage, segments, renewals, deals, and revenue.

04

Prioritize

Compare reach, severity, urgency, confidence, strategic fit, and impact.

05

Close the loop

Notify teams and customers, then measure adoption and business impact.

Maturity path

Move from anecdotal roadmaps to closed loop product intelligence

Stage 11

Anecdotal roadmap

Priorities depend on escalations, stakeholder influence, and scattered requests.

Opinion led
Stage 22

Evidence visibility

Product sees grouped feedback and affected accounts, but commercial impact is unclear.

Shared evidence
Stage 33

Commercial prioritization

Opportunities are compared using impact, value, confidence, and strategic fit.

Defensible priority
Stage 44

Closed loop intelligence

Evidence, decisions, delivery, adoption, and outcomes form one learning system.

Measured return

Platform capabilities

The platform capabilities behind evidence based product decisions

Every capability connects to the same operating loop, from customer evidence to a decision, an action, and a measured outcome.

01

Customer Evidence Hub

Collect calls, messages, tickets, surveys, CRM notes, requests, and research.

02

Topic and Problem Intelligence

Group evidence into recurring needs, problems, requests, and opportunities.

03

Account and Revenue Graph

Connect opportunities to accounts, segments, renewals, deals, and revenue.

04

Product Behavior Context

Show usage, adoption, friction, abandonment, and workflow impact.

05

Impact Prioritization

Compare reach, severity, urgency, confidence, value, and strategic fit.

06

Release Impact

Measure adoption, customer response, renewal influence, and business outcome.

Illustrative scenario

A feature request becomes a commercial decision instead of another backlog item

01Situation

Several customers describe the same workflow problem differently. One links it to renewal, two prospects call it a buying requirement, and usage shows abandonment in the current flow.

02Pace in action

Pace groups the evidence into one opportunity, connects affected accounts and segments, and creates a decision brief with usage and commercial impact.

03Commercial difference

Product compares the opportunity using complete evidence, revenue teams understand the decision, and the company measures whether the release changes adoption and commercial outcomes.

Request a demo

See the revenue and customer evidence behind your next product decision

See how Pace could turn scattered customer evidence into prioritized product opportunities with account, usage, and revenue context.

Explore all B2B software solutions
Bring one disputed roadmap item or repeated customer problem and we will map the evidence chain.
From signal to outcomeReady to map
Customer signal→Pace intelligence→Approved action
Prioritize bulk approval workflow

Evidence, ownership, controls, and outcome remain connected.

Explore another solutionUnified Customer Intelligence