MIRÓR
CPO Strategy Cockpit
Women's health for India's 35+ · board view
The brief · one screen for the board
Miror already won the hard part - trust. It's monetising like a supplement catalogue.
The fix isn't more ads. It's an AI-first care platform that routes every symptom to the right protocol - and turns trust into a data moat no one can copy.
75K-woman community ASHA + Govt reach HRT Centre of Excellence Destigmatising brand
Today
D2C brand + an app
₹1L/mo · unfunded · no moat
channel-mix leak
The bet
AI-first menopause platform
Care + commerce + a data moat
The product I’m proposing - try it
The strategy in five pillars
01
Install the evidence spine
Funnel, unit economics, retention cohorts, NPS - earn the right to an opinion before touching the roadmap.
02
AI router = the growth engine
Symptom → protocol routing on WhatsApp, in 4 languages. The Traya playbook, applied to menopause.
03
Vertically integrate the journey
Free assessment → protocol (supplement + HRT + coach) → subscription → recurring. The highest-LTV shape.
04
Own the India-35+ data moat
A consented, longitudinal symptom-to-outcome dataset no horizontal LLM or generic brand can copy.
05
Lock distribution
Community + ASHA/NHM rural rails + B2B2C employers & insurers - channels urban D2C can't replicate.
What the next 8 tabs answer - jump in
What is real here vs simulated - at a glance
a key you’ll see reused on every tab Live / computed
Companion makes a live LLM calllabelled on fallback
Safety gate runs a real committed harnesstab 06
A/B is a seeded Monte-Carlo with real statstab 08
Lever model is live in-browser mathtab 07
Public-sourced
Company facts: ₹19.4L FY25 · 75K community · ASHA 3,000+
Market sizing, competitor funding & regulation
Cited & fact-auditedSources · tab 09
Assumption
All lift numbers, A/B priors & projections are the author's
Labelled at point of use, not hidden
The data moat & personalisation engine are the PROPOSAL, not assets
MIRÓR · 1 / 9 · ← → to navigate