Officine Bica Background

Everyone can build faster than ever. Most still guess what to build.

I do the forensic work to figure out what's actually blocking your product's growth. Then I build the fix.

Proof CES 3.53 to 1.47 at Endress+Hauser | +€10M revenue at KSB | 3h→20min at Klenico

Companies I've worked with

KSB logo Klenico logo Endress + Hauser logo Zageno logo Viessmann logo SMA logo

The problems I see

Your product should be growing faster. But most teams still can't pinpoint what's blocking it.

Customers are leaving or not converting, and most teams can't pinpoint why. The data shows churn, abandonment, or stagnating adoption. But the cause isn't visible from inside.

Resources are being spent on the wrong things. The team is working. The roadmap is full. But the work isn't connected to what's actually blocking growth. Features ship. Metrics don't move. Budget burns.

The gap between "what we think the product is" and "what users actually experience" widens. Leadership sees the intended product. Users experience the real product. This gap grows silently over time because nobody is doing the forensic work to expose it.

What I do

Not a consultant.
A builder who thinks.

I figure out what's blocking your product's growth. Then I build the fix. From customer evidence to shipped solution.

Context engineering.

Structure scattered customer signals into evidence your team can act on. Support tickets, call recordings, interviews, and CRM notes, organized and prioritized in one system.

Hands-on building.

Diagnose the problem and build the fix. No handoff between insight and execution. Prototypes, workflows, positioning, whatever shape it needs.

System transfer.

Transfer the capability to your team. They inherit a working system and keep making evidence-based decisions after the engagement ends.

Case studies

Endress+Hauser case study
Endress + Hauser Manufacturing
Enterprise €3.7B

Complex configurator overwhelmed buyers

The problem

A 47-step configurator forced buyers offline. They abandoned the digital flow and called sales instead, slowing down deals and blocking self-service.

What we did

We found where cognitive load spiked and redesigned the logic with progressive disclosure. Users saw fewer choices at each step and progressed faster.

Result

Effort score fell from 3.53 to 1.47 in 6 months
Sales team freed 30% of time for high-value deals
KSB case study
KSB AG Industrial equipment
Enterprise €2.9B

Procurement platform blocked by poor discovery

The problem

60% of orders were abandoned on their eProcurement platform. Product discovery was broken and the ordering process was clunky, so buyers gave up and called instead.

What we did

We split the flow by user type. Engineers got visual product search. Procurement got bulk upload. We removed validation blocks that slowed checkout. Simple and fast.

Result

Orders grew 90% from 2020 to 2025 online
Digital channel added €10M+ annual revenue
Klenico case study
Klenico Mental health SaaS
Scale-up €5M ARR

Patient onboarding took too long

The problem

Getting a first report from their platform took 3 hours. Clinics couldn't show value fast, so they didn't expand into new locations and growth stalled.

What we did

We flipped the order. Generate the first report fast with basic data. Configure everything else after. Clinics see value in minutes, not hours.

Result

First value report now takes 20 minutes, not 3 hours
Now expanding to new markets and clinics
ZAGENO case study
Zageno Lab supply marketplace
Scale-up €90M

Scientists couldn't compare products

The problem

Supplier data was fragmented across the marketplace. Scientists couldn't compare products side-by-side or find what they needed, so they shopped elsewhere.

What we did

We built advanced filtering and side-by-side comparison designed for how scientists actually search and buy. Fast and reliable.

Result

Unified search across all suppliers and products
Became the standard procurement platform for labs

The engine behind the work

The decision system for product workers.

Built for B2B software companies, where placing the right bets is still a gamble. Capture customer signals, attach them to real customers and their ARR, and always know what to build, defer, or kill.

Validated against senior PM decisions

Simulation runs
60
Rank-order agreement
92% Kendall's τ = 0.924
Bet overlap
100% Jaccard = 1.000
Remaining gap
8% where human judgment adds value
Arcate product decision system

25 years of building what matters.

Client work

Company Revenue Role Key Outcome Duration
Endress+Hauser€3.7BProduct GrowthCES 3.53→1.47. Sales freed 30%.2025–now
KSB (via bitgrip)€2.9BInterim Product Lead+€10M digital revenue. Orders +90%.3 years
ZAGENO€90MFirst Product GuySeed to Series B. 1.4M products.2 years
Klenico Health€5M ARRInterim Head of UXFirst report 3h→20min.1 year
Sauer SystemsProduct Growth LeadProduct and growth ownership.1 year
DER Touristik / REWEInterim UX LeadBuilt internal UX practices.1 year
SAPMarket IntelligenceCampaign and lead gen optimization.2 years

Own products

Product What it is Proof
ArcateProduct decision system for B2BLive at arcate.io. MCP server. Fermi scoring.
AkeetsuIoT smart mosquito trapWing-beat recognition. Prototype + test commerce.
MesserheldRepair-as-a-Service for kitchen knives5.0 reviews. Falstaff + Business Punk.
Space BondingEvidence-based SaaS for urban developmentEXIST-funded. 7 years. Origin of Arcate methodology.

Next: Speaking of (Building with AI).

Vito Bica

Productlab Conference

Three days conference for AI-native Product Managers, PMMs, & Leaders. Alongside senior practitioners from Linear, Stripe, Miro, Personio, Parloa, n8n, and Reforge.


Deep Dive · 17 Sept · 15:00

For product builders: Let's build.

A field report from shipping a full SaaS product alone with AI as infrastructure, bridged with 20 years of B2B product work from the C-suite. Most people talk about the product builder. This is what it actually looks like.

15 17 September 2026 · CIC Berlin

View session ↗

The hard part was never building. It's knowing what to build. I do both.