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.

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.

This Was Not an Acquisition Problem.

The core issue was clarity, alignment, perception, and operational friction.

Instead of optimizing: More leads → More conversions

I optimized: Better alignment → Longer retention → Compounding growth

Visual Suggestion

Minimal horizontal flow diagram: Current funnel:

WhatsApp/facebook/social media → Flyer -> Inquiry → Explanation → Clarification → Form → Payment → Confirmation

All grey (#6B7280)

Friction Points:

1. Too many steps

2. Platform switching

3. Payment screenshot friction

4. Flyer dependency

Below it:

Optimized Flow:(Future optimization:
Website → Inquiry → Email with details + payment link → Google Form → Payment auto-confirm → Group invite)

Website → Aligned Inquiry → Structured Admission → Retention Loop

Accent arrows in #4F46E5

🔹 CURRENT STATE (Intentional Hybrid Model)

Visual:

Optimized Flow — Phase 1 (Live Today)

Website
→ Aligned Inquiry
→ Google Form
→ Payment (Manual Confirmation)
→ Retention Loop

Color:
All graphite (#374151)
Small indigo dot under “Website” to show system anchor

🔹 FUTURE STATE (Planned Scalable Admission System)

Optimized Flow — Phase 2 (Planned)

Website
→ Direct Registration
→ Integrated Payment
→ Auto Confirmation
→ Structured Onboarding
→ Retention Loop

Arrows in accent indigo (#4F46E5)

Add small tag above it:

“Planned Infrastructure Layer”

What You Write Under the Diagram (Ready to Paste)

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.

UI Reflects the Pedagogy

Color System Display

Typography Display

UI Decisions

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

UI Decisions

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

Visual decisions were intentional:

· Earth tones → groundedness

· Spacious layout → breath

· No aggressive CTAs → discipline positioning

· Slow-scroll sections → calm pacing

· Typography hierarchy → structure mirrors teaching style

AI as Acceleration Layer, Not Decision Maker

Process Diagram (Horizontal)

Research
→ AI Ideation
→ Human UX Judgment
→ Iteration
→ Final Output

Accent arrows #4F46E5

AI supported:

• Copy refinement
• Tone calibration
• Layout exploration
• UX stress testing
• Script drafting
• Communication templates
• Feedback clustering

Human oversight governed authenticity and trust integrity.

Risk Management

Icon: “AlertCircle”

Identified Risks:

• Over-automation
• Generic tone
• Loss of warmth

Mitigated through manual refinement and UX principles.

Operational & Growth Impact

Before

10 inquiries
→ 3 conversions
→ 5–6 month retention

LTV ≈ $250

After

• ~85% reduction in onboarding explanation time
• Improved inquiry alignment
• Stronger marketing positioning
• Scalable admissions foundation

3-Year Projection Card

100 students
$5000 MRR
Retention improvement → $40K cycle revenue

📊 Metrics Modeling (Product Thinking Layer)

Funnel Modeling

Before Website:

10 inquiries
↓
3 conversions
↓
Avg retention 5 months

Assume:
$50/month average (based on $500–700 revenue / 15 students)

LTV per student ≈ $250

Monthly revenue ≈ $500–700

After Website (Quality Improvement Phase)

Inquiries remain 5–10
Conversion rate improved via expectation alignment (projected 40–50%)

Even if only 4 conversions:

4 students × $250 LTV = $1000 projected lifetime revenue

Higher alignment = longer retention potential.

📈 3-Year Growth Modeling

Goal: 100 students

If:

100 students × $50/month = $5000/month

Retention improves to 8 months through:

· Strong onboarding

· Clear expectations

· Community

· Brand trust

LTV per student becomes:
$50 × 8 = $400

100 students → $40,000 lifetime cycle revenue

This becomes a sustainable, trust-based growth model.

Future-Ready Infrastructure

Phase Cards (3)

Phase 1 — Trust System (Live)
Phase 2 — Payment Integration + Direct Registration
Phase 3 — Corporate & Community Expansion

Caption:
Automation layered gradually without compromising trust.

🏢 Future Product Roadmap

Phase 1 (Now)

· Trust website

· Manual enrollment

Phase 2

· Direct registration via website

· Payment integration

· Onboarding form automation

Phase 3

· Corporate workshops

· Hybrid online/offline batches

· Community portal

All built on:
Quality > Scale.

What This Demonstrates

✔ 0→1 Product Thinking
✔ Retention-First UX
✔ Marketing + UX Integration
✔ AI-Governed Workflow
✔ Funnel Optimization
✔ Business Modeling
✔ Systems Design

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.