Product Market Fit. Engineered with Readiness & Guardrails
From noisy signals to proof — reach Product Market Fit with confidence.
The Product Value Intelligence System
Most product work doesn't create value because teams build based on assumptions rather than validated intelligence.
Whether you're pre-PMF, post-PMF, or scaling - the challenge is the same: knowing what actually matters.
Product Market Fit in 4 Steps
A focused system: stage readiness, signal events, one metric that matters, and guardrails by default.
Stage Readiness
Locate your product on the Lean Analytics journey and define what must be true to advance.
Signals & One Metric
Keep ≤12 core events and one stage metric (OMTM) that proves progress for your target cohorts.
Guardrails & Experiments
Set 2–3 counter-metrics and run lean tests that move the metric without breaching guardrails.
Operating Rhythm
Predictive alerts and a weekly 30-minute review to keep scaling decisions on track.
Product Market Fit Readiness in Practice
Real outcomes when teams define guardrails before expensive rollouts.
Challenge
A digital health provider prepared the nationwide rollout of CardLink — patients scan prescription data from their health card and send it to the pharmacy via chat. The module was paid: pharmacies subscribed to the package and each scan triggered costs — even failed ones. Result: low activation, rising support cases (“key lost”), frustrated pharmacies and patients, and direct revenue loss.
Approach: Stage Readiness Check
One Metric That Matters: Scan Activation Rate = % of active pharmacies with ≥1 successful scan. We mapped ≤12 signal events, interviewed pharmacists, and aligned with compliance & support. Recommendations: a web workflow, secure key recovery, and segmented onboarding.
Key Guardrails
Outcome
Activation rose from low single-digit to 40%+, support tickets dropped, scan transactions increased, and directory coverage expanded. Effect: stronger patient proximity, secured pharmacy revenues, and renewed investor confidence.
What customers say
Olcay has proven that he can successfully implement agile methods and data-driven approaches in a challenging project environment. His ability to manage stakeholders and define clear goals was crucial to our success.
– Accenture
With his structured way of working and high quality standards, Olcay developed two complex apps from scratch. His ability to recognize details while keeping an eye on the big picture was crucial to the success of the project.
– Head of Product Mobile, Gedisa
Olcay combined strategic insights with effective collaboration, which made a decisive difference to our project. His expertise in eCommerce and project planning made him an indispensable partner.
– Head of Product & SEO, Bike24
Why teams build the wrong things
Even experienced teams slip into patterns that look productive but don’t create durable value.
Common in early growth
Wrong metrics
Teams optimise engagement or activity while neglecting value signals that predict retention and revenue.
Frequent in feature factories
Build first, learn later
Shipping features before testing assumptions leads to waste. Lightweight tests de-risk the roadmap early.
High-risk in scale-ups
Scaling without proof
Headcount and budget increase before the value logic is validated — multiplying hidden risk.
The real cost of skipping validation
Lost quarters, sunk cost, and missed upside. Our Stage Readiness Check replaces guesswork with a stage metric, ≤12 signal events, and guardrails — so you scale with confidence.
Notes: aggregates from internal analyses and published industry reports; ranges vary by category and stage.
Product Intelligence Programs
Validated frameworks. Proven results. Market-rate expertise.
Product Signal Detection
Intelligence-driven diagnostic to detect real signals
- Identify 8+ false signals hindering growth
- Define 1 validated framework
- Strategic memo with immediate actions
Confidence boost: Know exactly where you stand with your Product
Product Intelligence Framework
Complete intelligence framework with validation roadmap
- Map 12+ Value decision points across your funnel
- Install 2–3 validated guardrails
- Complete Product intelligence system + roadmap
- Executive briefing: from signals to scaling decisions
Market clarity: Stop guessing, start scaling with confidence
Product Implementation Sprint
Live Product validation with scaling decision intelligence
- Live Product tracking of 1 key funnel + 1 cohort segment
- Validate 2 scaling decisions before major investment
- Full Product intelligence setup for ongoing validation
Scaling confidence: Client achieved validated Product in 6 weeks
FAQ
1) Is this just consulting, or do you also step in as Product Owner/Manager?
Both. I work hands-on as Interim Product Owner/Manager in complex environments — driving sprints, aligning stakeholders, and shipping. In parallel I bring my Product Intelligence framework to diagnose what blocks adoption or scale. You get execution, not just advice.
2) How is this different from other product consultants?
Most consultants give you frameworks. I give you systems that actually run: guardrails, operating rhythms, and measurable readiness checks. No abstract slides — a cockpit that keeps your product from drifting. The difference: frameworks break under pressure, systems don't.
3) What do I actually get when we work together?
- Stage readiness check (are you fit to scale?)
- Guardrails & metrics installed in your funnel
- Weekly operating rhythm (reviews, exec readouts)
- Stakeholder alignment across business, tech & compliance
- Follow-up support to keep the system running
4) Who do you usually work with?
CPOs, Heads of Product, and founders in B2B SaaS and regulated industries (insurance, healthcare, industry) who can’t afford to burn cash on false signals or stakeholder theater — and need evidence to scale with confidence.
5) What’s the biggest outcome I can expect?
Clarity on whether your product is truly ready to scale: you know if growth signals are real or fake, decisions are backed by evidence, and your roadmap won’t collapse under compliance or delivery pressure.