Designing a Live Service Platform: From Founder-Led Classes to Scalable Digital Infrastructure

How I transformed an ongoing yoga practice into a structured service system — improving clarity, reducing operational friction, enabling SEO growth, and preparing the foundation for expansion.

Role: Founder · Product Strategist · UX Designer · UX Architecture · Service Design · AI Workflow Integration
Scope: 0 → 1 Product Strategy
Status: Live (vaidehiyoga.com)
Users: Active students + Inbound leads
AI Usage: Content & operational workflow augmentation

How I Think & Design

Systems Thinking

I design beyond individual screens — considering scalability, component reuse, governance, and long-term maintainability across products.

Service Design

I consider the full lifecycle — onboarding, communication, support, and operational workflows — ensuring the experience extends beyond the interface.

AI-Augmented Workflow

I integrate AI tools strategically in research synthesis, ideation, and content systems — accelerating iteration while keeping decision-making human-centered

Business & Product Alignment

With an MBA background, I connect UX decisions to measurable business outcomes, operational efficiency, and product growth.

Validated Service. Unscalable System.

Before digital intervention, the live yoga service had strong retention but relied entirely on manual onboarding and informal communication channels.

15-20 Active Students

2 Live Batches

5–6 Month Retention

$750–1000 Monthly Revenue

The product worked. The system didn’t scale.

The Product Problem

Manual Onboarding Bottleneck

Each inquiry required repetitive explanations across WhatsApp, flyers, Google Forms, and payment screenshots.

Expectation Misalignment

Users expecting fast fitness results dropped off when they encountered structured, philosophical Hatha Yoga.

Growth Constrained by Bandwidth

Retention was strong — but scaling required reducing explanation friction and strengthening digital credibility.

Vaidehi Yoga began as live, community-driven classes. Growth happened organically through referrals. As interest increased, operational challenges surfaced:

The system relied entirely on conversation — not infrastructure. The opportunity was to design a digital layer that would:

  • Clarify offerings

  • Align expectations

  • Reduce repetitive explanations

  • Increase discoverability through SEO

  • Build credibility and trust

  • Support future service expansion

This was not a branding project. It was service design.

Reframing a Website as Service Infrastructure

Instead of building a promotional website, I framed this as:

How might we design a clarity-first digital system that filters, aligns, and prepares students before they ever inquire?

The website needed to function as:

• Marketing engine
• Expectation alignment tool
• Trust-building platform
• Operational support system
• SEO discovery channel
• Foundation for expansion

This required thinking beyond pages — and into flows.

Designing the Alignment Funnel

Pre-Website

Phase 1: Intentional Hybrid Model (Live)

Phase 2: Planned Scalable Admission System (Future State)

Why Automation Was Not Implemented Immediately

Although direct website admissions are planned, early-stage automation was intentionally delayed to preserve high-trust, founder-led onboarding.

At this stage:

• Manual confirmation reinforces seriousness and commitment
• Controlled intake prevents misaligned volume
• Personal admission preserves intimacy
• Retention remains the primary KPI over acquisition speed

Automation will be layered gradually as volume increases and alignment mechanisms mature.

This demonstrates phased scalability planning rather than premature optimization.

AI as Workflow Augmentation — Not Product Automation

AI is not embedded into the website experience. Instead, it supports:

Content Creation

• Structured copywriting
• SEO-optimized descriptions
• Clear articulation of offerings

Operational Support

• Onboarding message templates
• Class communication drafts
• Meditation/Yoga Nidra scripts

Design Iteration

• Rapid idea exploration
• IA structuring support
• Content refinement

AI accelerated thinking and iteration — but final decisions remained human-led. This demonstrates practical AI adoption in service workflows rather than superficial integration.

UI Reflects the Pedagogy

Color System Display

TEXT

BUTTON

OTHER

Typography

HEADING

Playfair Display (serif)

Playfair Display (serif)

Playfair Display (serif)

Lato (sans-serif)

Lato (sans-serif)

Lato (sans-serif)

BODY

Lato (sans-serif)

Lato (sans-serif)

Lato (sans-serif)

Lato (sans-serif)

BRAND LOGO

UI DECISION

• Single primary CTA
• Minimal animations
• Linear scroll hierarchy
• No urgency messaging
• Testimonials before final CTA

Impact

The website now functions as:

• First touchpoint for new students
• Expectation alignment system
• SEO discovery channel
• Listing authority source
• Operational support layer
• Scalable infrastructure base

Students now arrive more informed.

Operational friction has reduced significantly.

The system supports both growth and trust.

Reduced repetitive explanations

More aligned inquiries

Stronger credibility

Improved discoverability

Foundation for expansion

Future-Ready Infrastructure

Phase 1 - Trust System (Live)

• Trust Website
• Manual Enrollment

Phase 2 — Payment Integration + Direct Registration

• Website-based admissions
• Payment gateway integration
• Automated confirmations •Structured onboarding system

Phase 3 — Community Expansion

• Service expansion to larger audience segments
• Potential community dashboard

Automation layered gradually without compromising trust.

What This Project Demonstrates

✔ 0→1 Product Thinking
✔ Retention-First UX
✔ Funnel Optimization
✔ Business Modeling ✔ Service design mindset
✔ Phased scalability planning
✔ Practical AI workflow adoption
✔SEO strategy integration
✔ Marketing + operational alignment
✔ Systems thinking beyond UI

Designed and launched an AI-augmented, retention-first digital product that transformed a validated live service into a scalable, marketing-ready trust engine — balancing automation with human authenticity.