Innential Learning Platform MVP
Project Overview
Designed and launched Innential's first MVP learning platform in under a year, building the foundation for scalable product and brand alignment. My focus was on creating a design framework and analytics-driven workflows that supported growth, consistency, and usability from day one.
Role
Product Designer
Company
Innential
Year
2021–2022
Timeline
~12 months (MVP launch + iterations)
Team
Distributed team of ~5 (developers, product & growth stakeholders)
Achievements
1 MVP platform launched end-to-end
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12 months from research to release
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25% lift in lead generation after aligning product + brand
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1 scalable design framework created for future growth
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Dashboard-like components for content discovery & admin tools
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Integrated analytics & A/B testing into design workflow
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Cross-team alignment across product, growth, and engineering
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Core Challenges & Actions
| Challenge | Action |
|---|---|
|
1. No existing design framework Risk of inconsistency and delivery delays. |
Built the first scalable design framework, including reusable Figma libraries and modular UI patterns. |
|
2. Launching an MVP in limited time while balancing scalability Need to deliver quickly while ensuring future growth. |
Worked end-to-end: user interviews → wireframes → prototypes → delivery. Ensured MVP was modular enough to scale beyond initial release. |
|
3. Need for data-informed decisions in early product stage Making design decisions without user data or feedback. |
Integrated analytics, KPI tracking, and A/B testing directly into design workflow to guide prioritization. |
|
4. Cross-functional alignment across distributed teams Coordinating with developers while aligning product + brand goals. |
Facilitated clear handoffs with developers in Poland & Portugal; aligned product + brand touchpoints to support both user and growth goals. |
Process Seams — Where I Fixed the Flow
Research & Discovery
Framework Design
MVP Development
Testing & Iteration
Launch & Scale
Research & Discovery
Duration: 3 weeks
Seam Fix: Identified user pain points and learning platform gaps through comprehensive interviews and competitive analysis.
Artifacts & Owners: User research deck, competitive matrix · Product/Design
Outcome: Clear vision for MVP scope and target user needs.
Framework Design
Duration: 2 weeks
Seam Fix: Created scalable design framework with reusable components and modular UI patterns for future growth.
Artifacts & Owners: Design system documentation, Figma libraries · Design/Eng
Outcome: Foundation for consistent UI development and future releases.
MVP Development
Duration: 6 weeks
Seam Fix: End-to-end development from wireframes to production, ensuring MVP was modular enough to scale.
Artifacts & Owners: MVP feature specs, component library · Design/Eng
Outcome: Fully functional learning platform ready for user testing.
Testing & Iteration
Duration: 2 weeks
Seam Fix: Integrated analytics and A/B testing directly into design workflow for data-informed improvements.
Artifacts & Owners: Testing protocols, KPI dashboard · Growth/Design
Outcome: Objective metrics for validating design decisions and prioritization.
Launch & Scale
Duration: Ongoing
Seam Fix: Facilitated clear handoffs with distributed dev teams and aligned product-brand touchpoints.
Artifacts & Owners: Launch checklist, scaling docs · Product/Growth
Outcome: Smooth cross-functional collaboration supporting both user and business goals.
Research & Insights
To guide design decisions and validate the MVP approach, I implemented a comprehensive research and analytics strategy:
User interviews
Identified learning & admin needs through direct user feedback and pain point analysis.
Usage analytics
Tracked feature adoption and informed navigation updates based on user behavior patterns.
A/B testing & KPI tracking
Measured usability improvements and validated design decisions through data-driven experiments.
Competitive analysis
Mapped positioning against other learning platforms to identify opportunities and differentiation.
Reflection / Lessons Learned
Framework First
Investing in a design framework early reduced friction and accelerated future releases.
Data as a Design Tool
Embedding analytics and testing made design decisions more objective and impactful.
Cross-Functional Momentum
Strong collaboration between design, product, and developers created clarity and speed.