Product Management · Idea → GTM · 2025.9 – 2025.12
04

FALL-PREVENTION BELT

Five ideas screened down to one product. AI tools used to push the concept into a demo good enough to pitch on stage. My first end-to-end run from idea to go-to-market.

Product ManagementIdea Validation4P AnalysisAI Concept DevSenior Care
PolyU · Product Management
01 · Brief

From idea
to go-to-market.

The brief: take a blank idea through to a market-ready plan, using the methodology of a product manager. Three months, full chain.

This course doesn't reward "good PPT obedience." It rewards applying the method to a real problem: scanning the segment, converging via idea screening, then replacing expensive product photography & prototypes with AI tooling so the idea looks like it already exists when we pitch.

We landed on a fall-prevention belt — a wearable hip airbag that releases within 0.3 seconds of detected imbalance and cushions the impact on the floor. Falls are the single biggest cause of disability and lost autonomy for the 65+ population. The need is urgent; the market is growing fast.

The work split into two tracks: (1) Idea Validation & Market Analysis — five ideas scored on market growth × pain urgency; (2) AI-Enabled Concept Development — AI image & video generation for product visuals and usage scenarios, plus a complete 4P plan.

Duration
2025.9 – 2025.12 · 3 months
Idea Selected
Fall-Prevention Belt
Target Segment
65+ seniors living independently at home
Tooling
AI Image · AI Video · 4P Framework
Output
Full pitch deck + GTM plan
02 · Idea Screening

5 ideas →
1 product.

Two axes: market growth × pain urgency. The simplest and the hardest call in the whole course — overshoot and you get vanity, undershoot and you miss the real problem.

IDEA · 01
Smart medication reminder
6.4composite
IDEA · 02
Companion robot
5.8composite
SELECTED
IDEA · 03
Fall-prevention belt
8.7composite
IDEA · 04
Home aging-friendly monitor
7.1composite
IDEA · 05
Senior health-check mini-kiosk
5.4composite
03 · Why this

Three urgency signals
pushed it to the front.

Senior falls aren't a "be careful" problem. A single fall is often the moment a person stops being independent. This product isn't solving inconvenience — it's solving the loss of autonomy.

// 01 · Frequency

One in three seniors falls each year

1 / 3

WHO data: about 1/3 of people 65+ fall each year, and 50% of those who fall will fall again within twelve months.

// 02 · Severity

Falls are the #1 cause of disability in 65+

#1

One-year mortality after a hip fracture is roughly 20–30% — one of the most common ways an older adult loses the ability to live alone.

// 03 · Underserved

The market is missing active protection

~∅

Most existing products detect or alert (passive). Almost no waist-mounted product can actively protect within 0.3s. That's the real gap.

04 · AI-Enabled Concept

AI as a way
to ship the demo.

The course budget was zero. We used AI tools in place of product photography, prototypes and scenario shoots — so the idea already looked real on stage.

// STEP 01

Concept Sketch

Sketched the core mechanic — a wearable belt + a 0.3s airbag trigger — and locked the device form, the wear position and the target user.

Figma · Whiteboard
// STEP 02

AI Product Image

Used text-to-image to produce multi-angle product visuals and on-body shots across skin tones, ages and body types — enough images to fill the entire deck.

AI Image Gen
// STEP 03

Usage Scenario Video

Generated three 8-second clips — bathroom, stairs, living room — covering the highest-risk fall scenarios and the device's trigger response.

AI Video Gen
// STEP 04

4P + GTM Plan

Pulled the assets into the deck, ran the full Product / Price / Place / Promotion split, and produced a 12-month go-to-market path.

Marketing Framework
05 · 4P Framework

Product / Price /
Place / Promotion

I've run this framework too many times. The hard part has never been knowing the four P's — the hard part is deciding which P to over-invest in this time.

P

Product

Core: a hip airbag that actively deploys within 0.3s.

  • Posture sensors + IMU fusion for fall detection
  • Washable shell, 10–14 days battery
  • Family app syncs every fall event
P

Price

Two tiers: outright purchase + monthly subscription.

  • Device: ~RMB 1,899 one-time
  • Family monitoring: ~RMB 39 / month
  • Long-term care insurance reimbursement explored
P

Place

Three channels in parallel:

  • Tier-3 hospital geriatrics co-build → physician referral
  • Community senior-tech experience stores → 7-day trial
  • JD / Tmall senior channel → adult-children purchase
P

Promotion

Don't advertise to seniors — advertise to children and doctors.

  • "Give Mom & Dad an insurance" — emotional ads to adult children
  • Free clinics + fall-risk assessments at geriatric departments
  • Government Senior Month co-events

Always on,
only triggered when it matters.

Core mechanic: one airbag on each outer hip. A 9-axis IMU recognizes the earliest fall posture (around 200 ms in), and the airbag fully inflates ~100 ms before the body hits the ground — cushioning hip impact at exactly the moment that decides everything.

Trigger time
≤ 0.3 s
Battery
10 – 14 days
Weight
≈ 480 g
App sync
Family · Doctor
// IMU · 9-axis
// Airbag · L + R
06 · My Role

What I owned.

A team of four. I owned the market analysis of the idea-screening phase, and the integration of AI-generated assets into the pitch deck — the thing that made us not look like a 5-week project.

// MARKET

  • 5-idea scoring model — growth, urgency, market homogeneity, team feasibility
  • Severity case — WHO fall data + 20–30% one-year mortality after hip fracture
  • Segment scan — uncovered that most products detect passively; active protection is the gap
  • Reverse 4P — knowing the buyer is the adult child reshaped product design: light, not "medical-looking"

// AI WORKFLOW

  • Prompt engineering — found the phrasing that produced "senior-wearing-it-but-not-sickly" visuals
  • Three fall scenarios — bathroom / stairs / living room → AI video + post
  • Visual consistency — single palette and composition across all 4P sections, so the deck reads as a brand, not a pitch
  • Pitch framing — turned "we have zero budget" into "we used AI to run a cheaper feasibility validation"
— TAKEAWAY —

What this
project taught me.

"Product manager" sounds like a collection of frameworks in class. Doing it taught me that the hardest part isn't the 4P — it's convergence. Picking one idea out of five means killing four others that all looked plausible.

Second thing: when budget is zero, AI is a leveler. We had no money for prototyping, no team for video shoots — but AI tooling pulled the visual density of the pitch up to "looks already real." I reused this exact playbook later in my internship.

The third thing — and the most important — who buys decides what the product looks like. The real buyer for this belt is the adult child, not the senior. So it has to look like an insurance product, not a medical device.