01→
Ingest
Calls, CRM, support, usage, churn, and market signals
Book a diagnosticProduct intelligence for B2B SaaS
Build what wins.
Ship it faster.
Get more from R&D.
NXProduct installs a continuous Product Intelligence Engine that turns customer and prospect signals into revenue-ranked priorities, faster product delivery, and measurable business outcomes.
Built for CEOs, CPOs, and product leaders at growth-stage and enterprise B2B SaaS companies.
ProductIntelligenceEngine
Customer signalRevenue contextProduct action4×product throughput
16K+calls analyzed
0new headcount
The operating gap
Product teams don’t lack data. They lack a system that turns signal into enterprise value.
Purchase objections, churn reasons, expansion needs, and usage patterns are everywhere—calls, tickets, CRM fields, product analytics, and internal conversations.
NXProduct connects those fragmented signals to product decisions, delivery workflows, and measurable outcomes in one continuous operating model.
The Product Intelligence Engine
From customer signal to measurable outcome. Then back again.
A closed loop that gives product leaders the evidence to make better bets—and the operating leverage to deliver them faster.
02→
Interpret
Needs, objections, risks, and opportunities with source evidence
03→
Prioritize
Rank by ARR opportunity, ARR risk, fit, confidence, and effort
04→
Deliver
Accelerate discovery, PRDs, design, code, review, and release
05
Measure
Track adoption and business impact, then feed learning back
Learning compounds↩
Works with your stack—not the other way around. Gong · Salesforce · Zendesk · Product analytics · Claude · GitHub
Business outcomes
Turn product performance into a growth lever.
Every intervention connects to an outcome your leadership team already measures.
Improve win rate
Identify recurring product blockers in prospect conversations, quantify the pipeline attached, and route the highest-value gaps into product decisions.
Reduce churn
Connect cancellation, downgrade, and support signals to product causes—then rank intervention opportunities by ARR at risk.
Accelerate delivery
Carry customer evidence and context from discovery through specification, design, engineering review, and release with fewer delays and less rework.
Increase R&D efficiency
Shift expensive teams away from low-leverage translation and handoff work toward judgment, architecture, quality, and differentiated value.
Implementation proof
16,000 conversations.
One ranked backlog.
4× throughput.
A $120M+ ARR SaaS company connected customer conversations to evidence-backed prioritization and an AI-accelerated delivery workflow.
Results from one implementation. Outcomes vary by product architecture, team maturity, data access, and engineering controls.MetricBeforeAfter
Idea to production4–6 months2–4 weeks
Quarterly throughput10 releases40 releases
Signal analyzedAd hoc16,000+ calls/year
Added headcount—0
How we work
Start focused. Prove value. Then scale.
A staged path limits risk, establishes a baseline, and transfers the operating model to your team.
Executive Diagnostic
Map your signal flow, decision process, delivery constraints, and outcome measurement. Leave with a value-leakage map and three highest-leverage interventions.
Discuss this stage →Engine Pilot
Connect one high-value signal source to one priority use case, establish the baseline, and demonstrate measurable operational value before scaling.
Discuss this stage →Scale & Transfer
Expand signal sources, integrate delivery workflows, establish governance, train your team, and transfer ownership of the operating model.
Discuss this stage →
Operator-led, not theory-led
Built inside SaaS.
Now available to your team.
Guillaume Vives has spent 25 years building and leading product organizations in enterprise SaaS. As an operating product executive, he designed and led the workflow that analyzed 16,000+ annual customer conversations and increased product throughput 4× in six months without adding headcount.
25 years in SaaSSVP Product & CPO experience$120M+ ARR implementation
Executive Product Intelligence Diagnostic
Find the highest-value leak in your product operating system.
In one 90-minute working session, map how customer signal becomes product action, where R&D capacity is lost, and which intervention is most likely to improve growth, retention, or delivery speed.
You leave with
- A Product Intelligence maturity score
- A value-leakage map across the workflow
- Three prioritized interventions