ShenQi Space · product case study
How a complex methodology became a product for everyday decisions.
ShenQi Space brings personalized tools, education, consultations and subscription into one live platform. I develop it as co-founder, Product Engineer and Software Architect, from positioning through daily operation.
Open shenqi.space
The product challenge
People arrive with a specific question and expect a clear next step.
The first version represented the depth of the domain well. User feedback showed that the product needed a more direct entry point: what today means, when to act and how to use the result. We rebuilt the journey around a clear first answer while keeping deeper methodology available for those who want it.
What works today
Several ways into one product system.
Public experiences help people understand the day, choose a moment, receive a personalized period and move into deeper forms of support.
Turning knowledge into a product
The methodology travels all the way to a practical action.
Domain expertise remains the foundation. The digital system turns it into a repeatable experience that can be explained, personalized, purchased and used regularly.
Rules, models and teaching practice
Structured data and repeatable logic
Practical guidance for a day, period or decision
Choose a moment, learn or work with an expert
Product model
Four forms of value in one customer journey.
A customer can begin with a self-serve tool, continue with education or move into personal work. Purchase, access and repeat use stay connected inside the platform.
Courses and materials with access granted after purchase
Personal work with a domain expert
Personal calendars and tailored analyses
Recurring access to personalized tools
The system beneath the product
The architecture connects customer experience, commerce and operations.
The backend contains more than twenty domain modules. Together they keep payments, access, personalization, content, analytics and continuous delivery coherent.
Orders, payments, subscriptions and access grants move through one coherent flow.
Calculations and guidance use customer data with privacy built into the experience.
Public pages, content, SEO and attribution connect directly to the product.
Queues, monitoring, health checks and releases are part of the platform itself.
Laravel · Nuxt SSR · PostgreSQL · Redis · Manticore Search · Docker · Nginx · GitHub Actions · Sentry
Team and ownership
Domain methodology and digital product evolve together.
Nadezhda Kalinina leads the domain foundation and teaching approach. I own the way that knowledge becomes a clear, commercial and durable digital product.
Domain methodology, consulting, education and more than 15 years of practice.
Positioning, product flows, UX, architecture, backend, frontend, infrastructure, commerce, analytics and operations.
How the work changed my approach
ShenQi became a full-cycle product education.
Technical completeness cannot replace a clear entry point. The first screen should help someone take the next step.
Positioning, content, search, funnels and analytics shape the product as much as feature delivery.
Architecture creates room for change; real customers reveal which changes are worth making.
available and continuously evolving
education, consultations, digital products and subscription
domain modules
product, architecture, commerce and operations
The next layer
A dedicated AI Operations system supports ShenQi’s daily work.
It connects company knowledge, product analytics, current work and recurring routines. That operating layer has its own case study.
Turning an expert service or complex process into a digital product?
We can start by mapping the customer journey, commercial model and architecture of the future system.