Product Strategy in Ivano-Frankivsk — From Idea to PMF
I am Oleksandr Filyuk, 15+ years and 130+ product design projects. I help Ivano-Frankivsk teams build strategy through JTBD, ICP, SAM/TAM/SOM and a North Star metric so your product finds market fit and grows MRR steadily, without guesswork.
50+product strategies developed
85%of clients achieved product-market fit
130+projects in portfolio
100+Satisfied clients worldwide
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Tell me about your idea or product — I'll assess the potential and suggest next steps
Strategic session
Deep dive into your product, market, and audience — free for new clients
Get a roadmap
Clear product strategy with prioritized features, metrics, and implementation plan
Types of Product Strategy
I help at every stage — from idea validation to product scaling
🔬
Discovery phase
Deep research into market, users and competitors to form a product hypothesis.
🚀
MVP planning
Defining minimum feature set for quick launch and market idea validation.
🗺️
Product roadmap
Strategic product development plan with feature prioritization and milestone definition.
📊
Market research
Analysis of market trends, competitive landscape and opportunities for your product.
💡
Idea validation
Testing product hypothesis through user interviews, prototypes and testing.
🎯
Product-market fit analysis
Assessing product-market fit and defining strategy to achieve PMF.
Work Process
1
Idea & Market Analysis
I research your idea, target audience, competitive landscape, and market potential to form a strategic vision.
2
User Research
I conduct interviews with potential users, create personas and customer journey maps to understand real needs.
3
MVP Definition
I shape the minimum viable product concept: core features, user stories, and success criteria for the first launch.
4
Prototyping & Validation
I create prototypes of key scenarios and test them with real users to validate hypotheses before development.
5
Product Roadmap
I develop a strategic roadmap with development phases, metrics, and feature prioritization based on impact/effort.
6
Launch Support
I help with launch preparation, success metric definition, and iteration strategy based on user feedback.
Pricing
Choose the optimal package for your project
Basic
Express Consultation
One-time 2-hour session
$300$400What's included:
- Preliminary site/product analysis
- 2-hour video call
- Current situation analysis
- Main UX issues overview
- Basic competitor analysis (3 companies)
- Conversion improvement recommendations
- Current design assessment
- Mobile version analysis
- Page speed check
- SEO recommendations
- Sales funnel overview
- Task prioritization
- Consultation recording
- Short action checklist (PDF)
- Chat support for 7 days after consultation
Results in 1 day
Optimal
Deep Audit
Comprehensive analysis in 1 week
$800$1000What's included:
- Full UX audit of website/app
- Analytics analysis (GA4, Hotjar)
- Competitor analysis (5-7 companies)
- Target audience analysis
- User behavior research
- Step-by-step conversion funnel analysis
- Forms and CTA elements audit
- Responsiveness check on 5+ devices
- Content strategy analysis
- SEO audit (technical + content)
- Speed and Core Web Vitals analysis
- Detailed report with screenshots (PDF, 30+ pages)
- Step-by-step change roadmap
- Results presentation (2 hours)
- Prioritization by business impact
- Chat support for 14 days
- 1 additional consultation after implementation
Most popular
Premium
Strategic Partner
1 month collaboration
$2000$2500What's included:
- Everything from the Deep Audit package
- Full digital strategy development
- Product strategy and positioning
- Detailed competitor analysis (10+ companies)
- Customer Journey Map development
- Key page prototypes creation
- A/B test plan for conversion optimization
- Content marketing strategy
- Process automation recommendations
- Technical infrastructure audit
- Business model and unit economics analysis
- Presentation for team/investors
- 4 strategic sessions of 1.5 hours each
- Weekly check-ins throughout the month
- Help with specs for developers/designers
- Implementation monitoring
- Post-implementation results analysis
- Chat support for 30 days
- Priority access to future consultations
- 20% discount on my development services
Maximum results
Frequently Asked Questions
Answers to the most popular questions
Product strategy answers who we are building the product for, what core job (JTBD) it does, what the North Star metric looks like, and which growth hypotheses we test in the next 6-18 months. A business plan is mostly a financial projection with a P&L. I build a strategy that connects ICP, value proposition, product bets, and AARRR metrics into one system the team uses daily for decisions. Without it, any P&L stays an assumption.
I begin with an audit: I review the current product, metrics in GA4, Mixpanel or Amplitude, sessions in Hotjar/FullStory, run 8-12 JTBD interviews with users and 3-5 interviews with the team. Then I shape hypotheses about ICP, validated insights, North Star candidates, and AARRR funnel pain points. After that we choose strategic bets together in a workshop, frame SAM/TAM/SOM, and focus on 1-2 segments. It takes 3-5 weeks and gives a roadmap R&D can act on.
ICP (Ideal Customer Profile) is not a demographic persona but a description of the company or user for whom your product creates the most value, who pays you the most with the lowest churn. I derive ICP by analyzing the current base (if it exists): who pays, who stays, who refers. If there is no base — through JTBD interviews and market hypotheses. ICP becomes the filter for every decision: marketing, sales, product priorities, and even UX copy.
North Star is the single metric that best reflects the value created for the customer and correlates with long-term business growth. For SaaS it can be weekly active teams, for a marketplace — successful transactions, for media — quality watch time. I pick the North Star against three criteria: it reflects value, drives revenue, and the team can influence it. Around it I build a tree of drivers and input metrics following the AARRR model.
TAM is the total addressable market, SAM is the segment we can realistically serve, SOM is the share we plan to capture in 1-3 years. These three numbers exist not for an investor deck but so the team understands the scale of ambition and stops confusing the global market with the achievable one. I calculate SAM/TAM/SOM bottom-up: average price × number of accounts × frequency × share. This produces realistic MRR/ARR targets and informs CAC planning.
It depends on maturity. Early on, when data is scarce, I use ICE (Impact, Confidence, Ease) — fast and cheap. Once analytics and the team grow, we move to RICE (Reach, Impact, Confidence, Effort) because it factors in reach and gives sharper priority. I always keep a hypothesis backlog in a single file with criteria: hypothesis, metric, RICE/ICE score, experiment status. This removes politics from product decisions.
PMF is not a celebration but a measurable state. I use a set of signals: Sean Ellis test (40%+ users would be very disappointed without the product), retention curve flattens, NPS stays at 40+, organic growth outpaces paid, churn drops, word-of-mouth appears. I add data from GA4 and Mixpanel: cohort retention, frequency, depth of use. If at least 4 of 6 indicators are green, the product has PMF.
I work in three formats: a one-off strategic session (1-2 weeks, fixed price), a full audit and roadmap (4-6 weeks, fixed price), and fractional CPO (3-6 months, monthly retainer). I quote precisely after a short scoping, since the price depends on product maturity, number of segments, and depth of user research. All terms and deadlines go into a SOW, no surprises. I also practice success fees tied to MRR growth or CAC reduction.
Yes, this is a key segment. The Ivano-Frankivsk IT Cluster includes dozens of teams building SaaS for the West — from HR-tech to DevTools. Many face the same issue: a technologically strong product but a weak go-to-market strategy. I step in as an external product partner, run JTBD research with Western customers, set ICP, North Star, and prioritize the backlog via RICE. I often facilitate sessions offline on Nezalezhnosti Street or in cluster coworking spaces.
The Carpathian foothills have a strong scene of craft wineries and meaderies — from family producers to export brands. I help them digitize the product: I build strategy for a DTC platform, a subscription club model, a B2B catalog for HoReCa. We work with JTBD of sommeliers, restaurateurs, end customers. Separately I design agri-analytics solutions: vineyard tracking, harvest forecasting, raw material marketplaces. Realistic SAM/TAM/SOM across Ukraine and the EU is critical here.
Yes, Carpathian tourism — Bukovel, Yaremche, Vorokhta — generates significant demand for digital products: lodging bookings, guides, gear rentals, lift tickets. I help such SaaS teams in Ivano-Frankivsk scale to Poland, Slovakia, Czechia. That means rethinking ICP (a European tourist has a different JTBD), localizing pricing, integrating with Booking.com/Expedia, rebuilding the North Star around a multilingual funnel. We also configure GA4 with multi-domain tracking.
Strategy provides the frame: who, why, which metrics matter. Conversion and UX are tools inside that frame. Without strategy, CRO turns into chaotic A/B tests on button colors. With strategy, it becomes a system of hypotheses across the AARRR funnel tied to the North Star. That is why product strategy often starts alongside conversion optimization or moves into a UX audit. We get both vector and execution in one cycle.
Why choose me?
Comparison with other options
| Me | Other consultants | |
|---|---|---|
| Strategy approach | JTBD + ICP + North Star, validated on the Carpathian market | Template business plan without user research |
| Prioritization | RICE/ICE with transparent criteria | Founder's intuition |
| Metrics | AARRR, LTV/CAC, churn, MRR/ARR | Revenue and Jira tasks only |
| Working with the team | OKR + workshops with product and R&D | Slide deck and a signed deliverable |
| Experience | 130+ products, 15+ years | Generic MBA consulting |
Product Strategy Ivano-Frankivsk — JTBD, ICP, North Star
Why product strategy is the main lever for Ivano-Frankivsk businesses
Ivano-Frankivsk is a city of about 238 thousand people on the Bystrytsia River in the heart of the Carpathian foothills, the historical and logistical gateway to the Carpathians with access to Bukovel, Yaremche and Vorokhta. Around the Potocki Palace, Rynok Square and along Nezalezhnosti Street a dense ecosystem has formed — from the Ivano-Frankivsk IT Cluster and graduates of PNU, IFNMU, IFNTUNG to tourism operators, the oil and gas sector, woodworking, HoReCa, meaderies and wineries. The common trait of all these businesses is the need for a clear product strategy that does not confuse tactics with direction.
Across 15+ years and 130+ product projects I have seen local teams spend quarters on features that do not bring them closer to PMF, because there is no articulated JTBD, validated ICP, or aligned North Star. Product strategy removes this confusion: it gives one frame in which marketing, R&D, sales and support make aligned decisions.
What my strategy work looks like in Ivano-Frankivsk
I build strategy in four phases. Phase 1 — diagnostics. I gather data from GA4, Mixpanel, Amplitude, Hotjar, FullStory, analyze behavioral cohorts, find weak links in the AARRR funnel (Acquisition, Activation, Retention, Referral, Revenue). In parallel I run 8-12 JTBD interviews with real users and 3-5 with the team.
Phase 2 — market frame. I calculate SAM/TAM/SOM bottom-up, not from investor decks but from real numbers: average price, purchase frequency, number of accounts in the segment. For Carpathian tourism SaaS that means sizing Poland, Slovakia, Czechia separately; for Carpathian agritech — splitting B2B HoReCa from DTC clubs.
Phase 3 — strategic bets. In a workshop with the team we choose 1-2 ICP segments, frame the value proposition through JTBD, define the North Star and a tree of drivers. Hypotheses are prioritized via RICE for mature products and ICE for early ones. Each hypothesis carries a success metric, deadline, owner, and stop criterion.
Phase 4 — operating model. Strategy turns into quarterly OKRs, a product backlog, an experiment plan, and a dashboard with MRR/ARR, churn, LTV/CAC. I stay on for 2-3 months of support so the team does not slip back to old habits.
How I work with different Carpathian industries
For Ivano-Frankivsk IT Cluster startups the key is focus on a Western-market ICP and correct positioning against global players. I help validate niche segments (for example, DevTools for fintech teams or HR-tech for healthcare), shape the North Star as weekly active teams, and configure a RICE backlog.
For Carpathian agritech projects and wineries I emphasize a hybrid model: digital product plus offline operations. The JTBD of a sommelier, restaurateur, b2b buyer, and DTC end customer differ widely, and each needs its own funnel. Separately I design subscription-club models for wine and honey that scale well in the EU.
For tourism SaaS serving Bukovel, Yaremche and Vorokhta the core challenge is seasonality and multilingualism. I help decompose the North Star into seasonal drivers, optimize CAC during peaks, and preserve retention in the off-season through subscriptions, gift cards, and corporate programs.
For oil and gas and woodworking I work in B2B mode with long sales cycles. Strategy here includes account-based marketing, custom integrations, clear SLAs, and tender-platform negotiations.
Metrics, tools and the dashboard I set up
Without measurement strategy stays a slide deck. I configure a single product dashboard based on GA4 (clean traffic with the right attribution model), Mixpanel or Amplitude (event analytics, cohorts, retention), Hotjar and FullStory (qualitative behavior). It surfaces the North Star, drivers, AARRR, MRR, ARR, churn, NRR, LTV/CAC, payback period, NPS, activation events. A separate block uses the HEART framework for UX metrics: Happiness, Engagement, Adoption, Retention, Task success.
For A/B testing I use statistically sound methods: sample size calculations, MDE, false-positive control. For qualitative sessions — UX protocols that link observations to hypotheses.
Why start with product strategy right now
The 2025-2026 market changed the rules: customer acquisition cost has risen, investors demand real unit economics, AI is transforming user expectations. Under these conditions a product without strategy loses faster than before. Conversely, Ivano-Frankivsk teams that invest in JTBD, ICP and a North Star gain an edge: faster experiment cycles, lower CAC, higher LTV, more predictable MRR. If you want to start with an audit, I usually recommend looking at a UX audit and conversion optimization in parallel — this gives a 360-degree view from strategy to execution.