Sales · Implementation · Customer Success · Support
Product Intelligence for B2B SaaS
Turn every customer conversation into software your market will buy.
NXProduct helps SaaS leaders identify the product gaps affecting bookings and churn, rank them by commercial value, and carry the evidence through requirements, design, code and release.
Built for CEOs, CPOs and product leaders at growth-stage and enterprise B2B SaaS companies.
16K+calls analyzed
~700recurring signals
150high-impact opportunities
4×feature output
The operating gap
Product teams do not lack data. They lack a system that turns signal into revenue.
Purchase objections, churn reasons, expansion needs and product friction are scattered across calls, tickets, CRM records and usage data.
NXProduct connects that evidence to product decisions and carries the context all the way to released software, without handing control to AI.
The Product Intelligence Operating System
AI does the translation work. Humans keep control.
AI automationHuman control
Continuous operating loopCustomer signal → review-ready pull request → released value
ONE CONNECTED WORKFLOWAI accelerates each handoff. People make the decisions that matter.
Understand and prioritize the opportunity
Analyzed annually
Product signals detected
By frequency, ARR and churn risk
What deserves investment · Approve 100–150 needle-moving features
Carry approved evidence into delivery
Define, build and release the solution
Claude Cowork
Claude Design
Claude Code
GitHub, opened automatically
What is safe to ship · Test · Secure · Correct edge cases · Approve
Validated customer value—2–4 weeks from signal to shipped feature
AI owns the workflow between the gates.Humans own priority, quality and accountability.
The strategic advantage
The winner in SaaS will be the company that compresses the time between hearing customers and shipping value.
Business outcomes
Make product performance a growth lever.
Win more deals
Find the recurring product gaps blocking active opportunities and quantify the pipeline attached before those deals are lost.
Prevent avoidable churn
Connect cancellations, downgrades and support friction to product causes, then rank interventions by ARR at risk.
Ship valuable software faster
Preserve customer evidence from discovery through requirements, design, engineering review and release, reducing delay and rework.
Increase R&D output
Move expensive teams away from translation and handoff work toward judgment, architecture, security and differentiated value.
Implementation proof
One evidence base. 4× throughput.
At a $120M+ ARR SaaS company, valuable product insight was trapped inside thousands of annual customer and prospect conversations. A new operating system turned those conversations into ranked decisions and review-ready software.
Results from one implementation. Outcomes vary by product architecture, team maturity, data access and engineering controls.Problem
Customer evidence was trapped in 16,000+ annual calls.
Product insight was fragmented, hard to compare and disconnected from commercial impact.
Decision
Rank needs by revenue opportunity and churn exposure.
Roughly 700 recurring signals became 150 high-impact opportunities for PM review.
Change
Carry the same evidence into delivery.
AI accelerated requirements, design and code while PMs and engineers retained decision authority.
Result
2× output in quarter one. 4× by quarter two.
Delivery cycles fell from months to weeks without additional headcount.
BEFORE4–6 months
idea to production
idea to production
AFTER2–4 weeks
idea to production
idea to production
How we work
Start focused. Prove value. Then transfer the system.
A staged path limits risk, establishes a measurable baseline and leaves your team able to operate the model.
Executive Diagnostic
Find where customer signal, product decisions and R&D capacity are leaking value.
- Product Intelligence maturity score
- Value-leakage map
- Three prioritized interventions
Operating System Pilot
Connect one high-value signal source to one business outcome and establish proof before scaling.
- One priority commercial use case
- Baseline and success measures
- Working signal-to-release loop
Scale & Transfer
Expand the operating system, establish governance and transfer ownership to your team.
- Integrated workflows
- Human control framework
- Team enablement and handoff
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 feature 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 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.