Head of Research & Data Analysis
Kamil Maruszak
Head of Research & Data Analysis at MyndMap
Kamil joined MyndMap in May 2025, bringing extensive research expertise and a deep commitment to evidence-based approaches to productivity support. As Head of Research & Data Analysis, he ensures that every feature and intervention is grounded in scientific literature and best practices, bridging the gap between academic research and practical, user-friendly applications.
Professional Profile
Market Research & Strategic Analysis: Evidence-Based Growth
Kamil Maruszak joined MyndMap in May 2025, bringing extensive research expertise and a deep commitment to evidence-based approaches to productivity enhancement. His methodology combines technical expertise in machine learning and computer vision with rigorous market research and user behavior analysis.
As Head of Research & Data Analysis, Kamil ensures that every feature and business decision is grounded in scientific evidence and market validation. He has led comprehensive strategic analysis of the Japanese productivity app market, identifying key user segments and developing monetization strategies that align with both user needs and cultural context.
A key achievement has been his development of the "Symptom-Solver" customer archetype through detailed behavioral analysis, which redefined MyndMap's target market from a niche ADHD-focused tool to a broad productivity platform. This research-driven pivot has opened up significantly larger market opportunities while maintaining focus on evidence-based feature development.
Kamil's approach combines quantitative data analysis with qualitative user research, competitive intelligence, and market psychology. His work on pricing strategy and feature prioritization has established a clear roadmap for sustainable growth while ensuring that MyndMap continues to serve users with genuine, scientifically-validated solutions for productivity challenges.
Research Focus Areas
Key areas driving evidence-based feature development
Market Research & User Analysis
Conducting comprehensive market analysis and user behavior research to identify target customer segments and monetization opportunities in the Japanese productivity app market.
Data Analysis & Insights
Analyzing user behavior data to identify patterns, pain points, and opportunities for feature development and user experience improvements.
3D Computer Vision
Leveraging technical expertise in computer vision and machine learning to inform AI-driven feature development and intelligent automation capabilities.
Machine Learning
Applying machine learning techniques to enhance productivity features and create intelligent, adaptive user experiences based on individual behavior patterns.
Research Methodology
Systematic approaches to market analysis and evidence-based development
Market Research & User Analysis
Conducting comprehensive market analysis, competitive intelligence, and user behavior research to identify opportunities and validate product-market fit in the Japanese productivity app space.
Systematic Literature Review
Conducting comprehensive reviews of existing research to identify evidence-based best practices and gaps in current knowledge, ensuring scientific rigor in feature development.
Data-Driven Analysis
Using robust statistical and analytical methods to evaluate user behavior patterns, market trends, and feature effectiveness, translating insights into actionable product decisions.
Academic Collaboration
Building partnerships with researchers and institutions to leverage collective expertise and ensure methodological rigor in both academic and commercial research initiatives.
Jobs-to-be-Done Framework
Implementing systematic approaches to understand user motivations and needs, ensuring that product features address real problems rather than assumed requirements.
Iterative Validation
Implementing continuous evaluation cycles to refine and improve features based on real-world performance data and user feedback, ensuring ongoing product-market alignment.
Key Contributions to MyndMap
Research initiatives and evidence-based development
Strategic Analysis for Monetization & Market Positioning
Competitive Analysis & User Segmentation
Led comprehensive strategic analysis for the Japanese productivity app market, identifying key user segments and developing a three-tiered monetization strategy. Conducted behavioral analysis to redefine the target audience as "Symptom-Solvers" and recommended pivot from ADHD-focused to broad productivity positioning.
User Behavior Analysis & ICP Development
Behavioral Analytics & Customer Profiling
Analyzed user data to identify behavioral patterns and pain points, validating core customer archetypes and discovering the "Symptom-Solver" super-segment. Developed detailed customer profiles based on actual user behavior rather than theoretical assumptions.
Competitive Landscape & Pricing Strategy
Competitive Intelligence & Pricing Optimization
Conducted detailed analysis of competitor pricing and features in the Japanese market, establishing psychological price corridors and recommending strategic positioning. Developed freemium model with Pro (¥480/month) and Family (¥800/month) tiers optimized for market acceptance.
Evidence-Based Feature Development Framework
Product Strategy & Validation Framework
Established "Jobs-to-be-Done" framework for feature development, ensuring all new features address validated user needs. Created systematic validation processes to maintain scientific rigor while ensuring practical accessibility and cultural relevance for Japanese users.
Research without application is just academic exercise, and application without research is just guesswork. At MyndMap, we're committed to bridging this gap – creating tools that are both scientifically sound and genuinely helpful in people's daily lives. Our approach combines rigorous market analysis with evidence-based development to build products that truly serve our users.