UX Audit in Khmelnytskyi — I find conversion leaks in 10 days
I am Oleksandr Filyuk, 15+ years in product UX and 130+ shipped projects. I dissect your site or app via JTBD, AARRR and HEART, document critical issues, and deliver a RICE/ICE prioritized roadmap for Podillia businesses.
40%average conversion lift after audit
200+interfaces analyzed
15+years of UX experience
100+Satisfied clients worldwide
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Fill out a short form or message me — tell me about your product and its challenges
Free consultation
We'll discuss goals, metrics, and audit scope — you'll get a clear action plan
Get a detailed report
Full audit with specific recommendations, prioritization, and an implementation roadmap
Types of UX Audit
I conduct comprehensive usability analysis from multiple perspectives
🔍
Heuristic Audit
Expert interface evaluation based on Nielsen's 10 heuristics. I identify systemic usability issues that prevent users from achieving their goals.
📈
Conversion Audit
Conversion funnel analysis and identification of user drop-off points. I provide specific recommendations to increase conversion at every stage.
📱
Mobile Version Audit
Detailed mobile experience review: responsiveness, speed, navigation convenience, and touch interaction quality.
🏆
Competitor Audit
Comparative UX analysis of your product against key competitors. I identify strengths and opportunities for differentiation.
🧪
Usability Analysis
Deep user behavior analysis based on analytics data, heatmaps, and session recordings. I uncover real interaction patterns.
♿
Accessibility Audit
WCAG 2.1 compliance review. I ensure your interface is accessible to people with disabilities.
Work Process
1
Data Collection & Briefing
We discuss business goals, target audience, and current issues. I gain access to analytics and other data sources.
2
Heuristic Evaluation
I conduct a detailed interface analysis using Nielsen's heuristics and other UX principles, documenting every finding.
3
User Data Analysis
I research analytics, heatmaps, session recordings, and conversion funnels to uncover real behavior patterns.
4
Competitive Analysis
I compare UX solutions with key competitors, identify best practices and improvement opportunities.
5
Recommendations Development
I prioritize findings by impact and implementation complexity, creating detailed recommendations with mockups.
6
Report Presentation
I present the audit results with a detailed report, improvement roadmap, and answer all questions.
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
Standard package runs 10-14 business days. I start with stakeholder interviews and business context: P&L, unit economics, MRR/ARR, churn. Then I plug into GA4, Hotjar, Mixpanel or Amplitude and map AARRR funnels. Next, Nielsen heuristic analysis, WCAG 2.2 checks, mobile and Core Web Vitals. Finally, a RICE/ICE prioritized backlog with A/B test hypotheses and ROI forecast. Delivered in Notion or Linear with a 2-hour demo session for the team.
An audit answers "what breaks and why"; redesign answers "how it will look". Without an audit, redesign becomes a lottery: you risk rebuilding the UI and losing conversion. I often see owners commission a redesign and return six months later with metric drops. An audit is cheaper, faster, and delivers clear priorities. If findings demand deeper rebuild, we move to consulting or a full UX project via /services/business-consulting.
Minimum: GA4 with activation events configured. Preferably Hotjar or Microsoft Clarity for heatmaps and session recordings. For product cases I add Mixpanel or Amplitude — they reveal retention cohorts, funnel drop-off, feature adoption. If you have no analytics at all, the first audit week goes into deployment. That is fine — many Khmelnytskyi clients start from zero.
Every finding gets a North Star Metric impact estimate. For e-commerce I calculate expected conversion lift and AOV. For SaaS — impact on activation rate, MRR, churn, LTV/CAC. For B2B portals — speed of the client's key JTBD. In the RICE formula Reach × Impact × Confidence / Effort the first three multipliers are numerically grounded in GA4 or Mixpanel, not "feels like an improvement".
Yes, in the extended package I run 5-8 moderated sessions with ICP representatives. Scenarios are built via JTBD, capturing task completion, time-on-task, error rate, SUS score. Recordings go to the client with insight transcripts. For Khmelnytskyi this is especially valuable in B2B cases of "7th Kilometer" wholesalers, where the real user is a procurement manager, not the business owner.
The report is the start, not the end. I run a demo session with the dev team, answer questions, help structure knowledge in your Jira or Linear. Then we pick top-3 RICE hypotheses and launch A/B tests via GA4 Experiments or VWO. If you lack an internal team, I plug in dev partners. After 4-6 weeks we run a retrospective and validate hypotheses with data.
Single-funnel audit (e.g. e-commerce checkout) starts at EUR 1500. Full SaaS or B2B portal product audit with usability testing and an analytics dashboard starts at EUR 4000. Price depends on the number of key JTBDs, analytics scope, interface language, and ICP segments. 50% upfront, balance after the demo session and backlog handover.
Yes, but the format differs. For pre-PMF MVPs I run a discovery sprint, not a full audit: 5 days of ICP interviews, key JTBD validation, retention check on early cohorts in Mixpanel. The goal is to find why users do not return before you spend on scaling. In 7 of 10 cases the issue is not UX but product positioning — and I say so honestly.
Yes, B2B textile wholesale portals are a separate specialty. I audit SKU catalogs, fabric/article filters, wholesale-priced carts, 1C and CRM integrations. Typical findings: no bulk ordering, broken pagination on 10,000+ items, illogical article search. After the audit, procurement managers save 30-40% of order processing time. For deeper process work I recommend /locations/khmelnytskyi/business-consulting.
Yes, agritech is my second focus area in Khmelnytskyi region. I audited grower dashboards with weather API integrations, field monitoring, and yield tracking. Key UX in agritech is simplified tablet data entry in field conditions: large tap targets, offline mode, voice input. The ICP is a 45+ agronomist who avoids complex UIs. This significantly shifts typography, contrast, and control sizing.
Yes, retail locations on Proskurivska, Kamianetska and around Cathedral Square have their own patterns. In click-and-collect funnels the keys are precise geolocation, pickup time, POS integration. I audited regional retailer sites and see the typical mistake: mobile versions ignore that 70% of traffic comes from pedestrians on Proskurivska looking for items "here and now". This requires different navigation than classic e-commerce.
Primary: Ukrainian and English. For Khmelnytskyi businesses entering EU markets (Poland, Czechia, Romania) I add localization audit: dates, currencies, address forms, phone formats. I check the i18n structure — whether a new language can be added without code rebuild. For "7th Kilometer" wholesalers working with Turkish suppliers I check RTL compatibility for potential Arabic locales. Details in the consulting package /services/business-consulting.
Why choose me?
Comparison with other options
| Me | Other consultants | |
|---|---|---|
| Analysis depth | JTBD + AARRR + HEART + RICE | 10-point Nielsen checklist |
| Data | GA4, Hotjar, Mixpanel, Amplitude | Interface screenshots only |
| Business linkage | P&L, LTV/CAC, churn, MRR/ARR | Visual layer only |
| Output | Backlog with A/B test hypotheses | PDF without priorities |
| Timeline | 10-14 days with demo session | 1-2 months, no follow-up |
| Experience | 15+ years, 130+ projects | 2-3 years freelancing |
UX Audit in Khmelnytskyi — Oleksandr Filyuk, 130+ projects
UX audit in Khmelnytskyi: not luxury, but product hygiene
Khmelnytskyi, with around 270,000 residents and a strong economic cluster around the "7th Kilometer" wholesale market, instrument-making and food industry, is a city where digital products quickly stop being mere "business cards". If your B2B portal serves hundreds of procurement managers daily, every second in the funnel converts into hryvnias. As Oleksandr Filyuk with 15+ years in product UX and 130+ shipped projects, I see the typical picture: owners invest in traffic and ads but lose 40-60% of potential conversion to trivial UX errors. A UX audit is not "make it pretty" — it is an engineering procedure that returns money to P&L which has already been spent on user acquisition.
I work with Podillia companies from Proskurivska to Kamianetska, from KhNU startups to second-generation family textile manufacturers. The approach is universal: business context first (MRR/ARR, churn, LTV/CAC), then behavioral analytics in GA4, Hotjar, Mixpanel or Amplitude, then Nielsen heuristics and WCAG 2.2, finally RICE and ICE prioritization. No abstract advice. Every finding has a quantitative impact estimate on the North Star Metric and ties to a specific JTBD of your ICP.
What I actually analyze: four layers of a UX audit
Layer 1. Business context and metrics. Before looking at the interface, I clarify unit economics. CAC, LTV, conversion funnel, churn, activation definition. Without these numbers any UX recommendation is guesswork. I often hear from Khmelnytskyi clients: "we just have few sales". After 2-3 hours of conversation it turns out the problem is not traffic, but a 73% drop between cart and payment. You receive this diagnosis before UX analysis even begins.
Layer 2. Behavioral analytics. I plug into GA4, validate event correctness, build AARRR funnels (Acquisition, Activation, Retention, Revenue, Referral). If Hotjar or Microsoft Clarity exists, I review session recordings and heatmaps. For product cases I use Mixpanel or Amplitude: retention cohorts, feature adoption, time to first value. This layer answers the key question: where exactly in the funnel the loss happens and how it correlates with ICP segments.
Layer 3. Heuristic analysis and accessibility
Classic Nielsen 10 heuristics are just the start. I evaluate the product against Google's HEART (Happiness, Engagement, Adoption, Retention, Task success), Cognitive Load principles (Sweller), and WCAG 2.2 level AA. Forms get a separate audit: field types, validation, error messages, autofill, progressive disclosure. For Khmelnytskyi businesses serving Podillia agriculture, forms are critical: an agronomist on a tablet in the field should not type 12 fields manually. Core Web Vitals (LCP, INP, CLS) are checked separately. Sites loading slower than 3 seconds lose up to 40% of mobile traffic — a foundation without which any UX is secondary.
Accessibility deserves its own focus. Podillia has a significant share of 50+ users, especially in "7th Kilometer" wholesale and small agribusiness segments. If text contrast is below 4.5:1, target buttons smaller than 44×44 px, and search does not work without a mouse — you lose this audience instantly. I document every violation with a WCAG reference and fix priority.
Layer 4. Prioritization: RICE, ICE and ROI forecast
The biggest mistake of a typical audit is a list of 150 recommendations without priorities. The dev team opens such a report, gives up, and does nothing. So I always close the audit with a RICE table: Reach × Impact × Confidence / Effort. Reach is computed from GA4 — how many users hit the issue monthly. Impact is the expected conversion lift backed by niche benchmarks. Confidence reflects how sure we are (A/B-tested = 100%, heuristic = 50-70%). Effort is dev estimate in person-days. Output: a backlog of 15-25 hypotheses sorted by RICE score. Top-5 ships next sprint. The rest is a quarterly map.
Every hypothesis is A/B-test ready: I phrase it as "if we do X for segment Y, metric Z will move by N percent because…". This lets your PM launch experiments via GA4 Experiments, VWO or Optimizely without extra prep.
Local context: Khmelnytskyi, Podillia and ICP segments
Universal UX recommendations do not exist. What works in Kyiv or Lviv may flop in Khmelnytskyi because the ICP differs. A wholesale buyer at "7th Kilometer" is a 35-50 year-old manager buying textiles in batches, juggling 5-7 suppliers and needing bulk-order Excel imports. The classic e-commerce "pick size, pick color" funnel stops them. For such ICPs I rebuild architecture: SKU matrices instead of cards, quick-edit price lists, 1C or BAS integrations.
For Podillia agritech the focus shifts: offline mode, voice input, weather API and field IoT integrations. For Proskurivska and Kamianetska retailers — mobile optimization for pedestrian traffic, click-and-collect, precise pickup geolocation. Khmelnytskyi IT Cluster and KhNU/PDU graduates provide enough engineering capacity, but without proper UX diagnostics this capacity scatters. If you need not just an audit but implementation support, we move to /services/business-consulting or the local package /locations/khmelnytskyi/business-consulting, where I lead the team toward PMF and measurable ROI.