● Mesa School of Business · PGP Forge

The 3-Month
ConsumerTech Sprint

A program that compresses three years of founder pain into ninety days — with the safety rails of a school and the urgency of a seed-stage company.

0d
idea → PMF
0+
active users (top teams)
0L+
annualized revenue
0
hard gates
Scroll — one glance per idea ↓
01 — OPERATING THESIS

The classroom is the market.

The textbook is the live dashboard. The exam is whether a stranger will use what was shipped this week.

🧩

Problem-solving is the only durable skill

Ideas die, markets shift. The founder who decomposes a scary problem into small solvable ones wins in any decade.

📊

Real numbers beat real theory

Every concept is taught only against a live number in the student's own venture. No abstract cases.

Speed is a teacher

A team that ships weekly learns 12× faster than one that ships quarterly. The cadence itself is our biggest intervention.

North Star

We don't grade Day-1 idea quality. We grade the slope of the learning curve — how fast a team turns ignorance into evidence, and evidence into traction.

02 — THE PROBLEM-SOLVING ENGINE

Break it until it bleeds.

We never let teams fall in love with a solution. They shatter a scary ambition into testable sub-problems — each a one-week experiment.

The wish
“10,000 active users”
Who is desperate?
define the 1 user
Where do 1,000 gather?
channel discovery
% who install?
funnel conversion
% back on Day 7?
retention
The one feature?
core action
Cost per user?
CAC
Which channel scales?
affordable CAC
= a plan
not a wish

A wish becomes seven answerable questions. See the weekly cadence ↗

The weekly rhythm

The Forge Loop

The exact loop a real seed-stage startup runs — repeated 12 times. We build the muscle, not the diagram.

MONHypothesis standup — 1 question, 1 metric
TUE–THUBuild / 10+ user conversations / run the experiment
FRI AMNumbers review — no opinions without data
FRI PMForge review — continue / pivot / kill
MONhypothesis TUE-THUbuild/test FRI AMnumbers FRI PMdecide FORGE LOOP
⚛ First principles

Strip the problem to physics until it's solvable.

🧪 Hypothesis → test

Cheapest experiment that produces a number wins.

🌳 Driver trees

Revenue = users × conversion × price × frequency. Fix the weakest.

⏮ Working backwards

Write the launch press release first. No excitement → don't build.

03 — THE STUDENT JOURNEY

Three months, three jobs.

Each month ends in a hard gate — not a grade. Sample week ↗ · Demo Day rubric ↗

Month 1Weeks 1–4

Discover

Earn the right to build

Core Q: Is this a real, urgent, monetizable problem?

  • 50+ customer conversations
  • Sharp ICP + painful job-to-be-done
  • Demand evidence (waitlist / pre-order / LOI)
  • Bottom-up TAM/SAM/SOM
  • MVP scope locked to one hero use case
🚪 Gate: Problem Validation
Month 2Weeks 5–8

Build & Launch

Ship embarrassing, ship fast

Core Q: Will strangers use what we built?

  • Working MVP in users' hands
  • Public launch on a real channel
  • Instrumentation live (activation, retention)
  • First 100–500 real users
  • First monetization experiment
🚪 Gate: Launch & Traction
Month 3Weeks 9–12

Scale & Prove

Find the loop, prove the economics

Core Q: Can we grow repeatably and charge?

  • One growth loop instrumented
  • Retention improving cohort-over-cohort
  • End-to-end unit economics modelled
  • Monetization validated
  • Demo Day to investors & operators
🚪 Gate: PMF & Scale

The 12-week clock (+ Week 0 onboarding)

W0
W1
W2
W3
G1
W5
W6
W7
G2
W9
W10
W11
🏁
◀ DISCOVER ▶◀ BUILD & LAUNCH ▶◀ SCALE & PROVE ▶
04 — FUNDAMENTALS, LIVE

Taught through their own numbers.

Modules unlock exactly when a team needs the concept to solve a live problem — never as standalone lectures.

TAM · SAM · SOM — why / what / how

Bottom-up only. A huge population is not a huge market — we drill the India-1 / 2 / 3 reality. Worked example ↗

TAM — everyone who could use it
SAM — income + language qualified
SOM — winnable in 2–3 yrs
Beachhead

A credible SOM you can win beats a fantasy TAM you can't.

End-to-end P&L & unit economics

Every team runs a live P&L from Week 5 and fixes the single weakest driver. Full template ↗

Revenueusers × conversion × price × frequency
minus variable cost
Contribution marginmust be positive to scale
vs acquisition cost
LTV / CACtarget → 3×, payback < 12 mo
⚠ If LTV/CAC isn't heading to 3×, you don't have a growth engine — you have a leaky bucket you're paying to fill.

💰 Pricing in a price-sensitive market

Subscription
recurring
Transaction
commission
Ads / lead-gen
volume

Low absolute WTP, high sensitivity — but UPI makes micro-transactions frictionless. Frequency & volume often beat margin.

✂️ Cost-cutting & jugaad ops

  • • AI-native + no-code → 3 people do what needed 15
  • • Community & organic before paid (paid CAC kills consumer in India)
  • • Pre-sell before you produce — variable over fixed cost
  • • Runway = days of learning bought. Spend on evidence, not vanity.
05 — METRICS

Two scoreboards, always on.

We track the venture's health and the student's growth in parallel — and obsess over leading indicators.

Daily
  • • DAU / core action
  • • Signups + activation
  • • User convos logged
  • • Cash & CAC by channel
Weekly
  • • WAU + WoW growth %
  • • D1 / D7 retention
  • • Activation rate
  • • Experiments → decisions
Monthly · gates
  • • M1: validation score
  • • M2: 100–500 users, D7
  • • M3: loop + LTV/CAC
Final
  • • 10k users / ₹25L ARR
  • • breakout / funding
  • • operator placements
  • • capability delta

Cohort retention should improve every launch

Each new cohort retains better than the last — the signal of real learning.

Weekly active users — week-over-week

Consistent positive WoW growth is the best early signal of fit.

🛡️

Anti-gaming rule: "active user" and "revenue" have one program-wide definition, audited at every gate. Buy installs or log ghost users → you fail the gate. We reward honest retention over vanity reach.

06 — DESIGN CHOICES

Deliberate trade-offs vs top accelerators.

Where we align with YC / Antler / Entrepreneur First / Techstars — and where we choose to differ.

ChoiceWe choseTrade-off acceptedvs accelerators
Cohort & time-boxFixed 3-mo, hard gatesSome need more/less timealigns YC/Techstars
Founder stageFreshers, pre-ideaHigher idea/team riskcloser to Antler/EF
EconomicsSchool fee, no equityLess aligned upsidediffers from YC 7%/$500k
CurriculumJust-in-time, structuredMore teaching overheadmore than YC
TargetsPrescriptive (10k, ₹25L)Risk of teaching to metricmore prescriptive
GeographyIndia-first, on-groundLess global networkvs SV-remote

Designing for the whole distribution

Accelerators ignore the bottom of the cohort. We can't — so from Week 8 we run two explicit landing pathways. Same rigor, different finish line; nobody graduates feeling like a failed founder.

20%
Breakout founders
funding / accelerator / Shark Tank
20%
Family-business
costed modernization plan
60%
Elite operators
₹12–14 LPA roles
100%
Numbers-fluent
can model any business
07 — CAPABILITIES + PARTNERS

Nine capabilities the program must supply.

Each with one ecosystem partner (examples). Partner sources ↗

⚙️01

AI build velocity

Ship weekly with a tiny team

Cursor / Replit · AWS Activate
📈02

Product analytics

Read retention honestly

Mixpanel / PostHog
🚀03

Growth & distribution

#1 thing teams fail at

GrowthX community
💳04

Payments / monetization

Usage → revenue fast

Razorpay
💬05

India channels (WhatsApp)

Reach India-2/3

Gupshup / AiSensy
⚖️06

Legal / setup / compliance

Incorporate, equity, IP

Razorpay Rize / CA-CS firm
🤝07

Investor access

Warm capital for breakouts

Elevation · Antler · LetsVenture
🧠08

Mentor & operator network

Real scar tissue

Curated founders + portfolio ops
🌱09

Founder wellbeing

Burnout is a top failure

Coaching / mental-health partner
08 — RISK MITIGATION

Where it breaks — and how we catch it.

R1

Weak idea / loving the solution

→ Validation gate · kill-criteria · budgeted pivot week · mentor red-teams

R2

Co-founder conflict / breakups

→ Founder Contract (W0) · role clarity · vesting analog · mediation

R3

Vanity / gamed metrics

→ One metric definition · cohort-retention focus · anti-gaming audits

R4

Distribution failure

→ Distribution-first curriculum · channel partners · 100 real users first

R5

Burnout / mental health

→ Sustainable cadence · weekly wellbeing pulse · coaching · protected rest

R6

Middle 60% feels like failures

→ Operator & family-business tracks · portfolio of work · employer pipeline

R7

Mentor quality variance

→ Mentor SLAs · structured office-hours · mentor NPS · vetted bench

R8

Working-capital trap (commerce)

→ Pre-sell / made-to-order · micro-grants · asset-light wedges first

R9

Over-engineering / slow ship

→ Ship-weekly rule · AI tooling · "embarrassing MVP" norm

R10

Job-transition stigma (60%)

→ Reframe operator as elite · employer network · comp benchmarking

09 — IDEA EVALUATION

How I'd teardown a startup idea.

One reusable lens — the 6-Lens Teardown — applied live to Willow & Studojo.

Problem
intensity
painkiller?
Market
& wedge
small to win?
Unit
economics
money works?
Distribution
next 1,000?
Defensibility
why not copied?
Founder-fit
why now?

👗 Willow

apparel for tall women

Verdict: Real painkiller, great niche wedge — but apparel returns (25–40%) & working capital are the killers.

Feedback: one hero SKU (perfect-fit trousers) · made-to-order, sell before you make · attack returns with a fit quiz · community-first, not paid ads.
Next 30–60 days: 50 interviews · concierge-sell to 30–50 women · measure return rate, repeat & referral · contribution margin after returns.

🎓 Studojo

AI student co-pilot

Verdict: Too broad (4 products in 1), low student WTP, heavy ChatGPT substitution. The wedge must be one acute job.

Feedback: own ONE deadline-driven workflow · decide the payer (B2B2C: college/placement cell) · obsess retention not signups · earn a moat via integrations + data.
Next 30–60 days: one campus, one workflow, ~1,000 students · instrument WAU & retention · test a non-student payer · define the habit loop.

If a student has no idea — three I'd recommend today

🗣️

Vernacular AI tutor for outcomes

spoken English / competitive exams

Why now: voice AI + cheap data. Indians pay for outcomes (jobs, exams), not content. Payer = aspirational parents already spending on coaching.

🛒

WhatsApp AI commerce assistant

for small Indian sellers

Why now: 60M+ MSMEs, WhatsApp + UPI rails, agents that handle catalog/orders. Distribution is the product's home → low CAC.

🏥

AI claims / benefits copilot

for India's newly-insured

Why now: rising insurance penetration, nightmare paperwork. A painkiller with a real payer — family, or B2B2C with an insurer/hospital.

Each is a wedge, not a platform — the exact discipline drilled in Section 02.

10 — INDIA-FIRST → GLOBAL

Build the engine in India. Swap the fuel per market.

🇮🇳 Designed for India

  • • Distribution via WhatsApp, campus & creators — not paid ads
  • • Pricing for low WTP; UPI micro-transactions, frequency, B2B2C
  • • Capital-efficient jugaad ops; pre-sell before producing
  • • India-1/2/3 segmentation — population ≠ market
  • • On-ground execution, Indian mentors & investors

🌍 To go global, fix

Monetizationhigher-WTP markets → SaaS-style ARPU; re-model pricing
DistributionApp Store / search / Discord; re-learn CAC
RegulationStripe rails, GDPR/CCPA, local compliance
Networkglobal operators, cross-border investors
Outcomesre-benchmark comp, visa/relocation reality

What's portable: the pedagogy — problem decomposition, the Forge Loop, evidence-based gates. What localizes: distribution, pricing, regulation, network.

Ninety days. Real users. Real numbers.

From idea discovery to product-market fit — with the rigor of a school and the urgency of a startup.

APPENDIX & SOURCES

The supporting detail.

Templates, worked examples, rubrics and the references cited throughout the main deck.

Appendix A — Sample Forge Week

MonTueWedThuFri
AMHypothesis standupBuild / callsWorkshop (90m)Build / callsNumbers review
PMBuildMentor 1:1Build / callsBuildForge review (panel)

Appendix B — Consumer P&L / Unit-Economics Template

LineDefinitionDriver
Revenueusers × conversion × price × frequencyfix the weakest driver
Variable costpayment fees, hosting, support, fulfilmentper-unit cost to serve
Contribution marginrevenue − variable costmust be positive
CACspend ÷ new customers, per channelblended misleads
LTVcontribution × lifetime (retention-driven)retention is the lever
LTV / CACgrowth-engine efficiencytarget → 3×+
CAC paybackmonths to recover CACtarget < ~12 mo
Burn & runwaynet cash out; months leftbuy evidence, not vanity

Appendix C — TAM/SAM/SOM Worked Method

Illustrative method only — numbers built bottom-up by the team, never assumed.

  • TAM — all Indian smartphone users who could conceivably use the category.
  • SAM — urban, income- & language-qualified segment the model can serve & monetize today.
  • SOM — realistic 2–3 yr capture = units × price × frequency, sanity-checked against a named beachhead.

Teaching point: a credible ₹5–10 cr SOM you can win beats a "₹10,000 cr TAM" you can't.

Appendix D — 6-Lens Idea Scorecard

Problem intensity /5
Market & wedge /5
Unit economics /5
Distribution /5
Defensibility /5
Founder-market fit /5

Appendix E — Demo Day Rubric

  • Problem & insight — sharp, evidenced, non-obvious
  • Traction & retention — real users, flattening curve, live growth loop
  • Unit economics — credible path to LTV/CAC > 3× and ₹25L+ ARR
  • Clarity of thinking — decomposed problem, knows the next number that matters
  • Ask & plan — specific, credible 6-month plan and a concrete ask

Sources & references

Frameworks and partner examples referenced in this deck. Partner selection is illustrative and confirmed at onboarding; figures (e.g. LTV/CAC ≥ 3×, apparel return rates) are widely-used industry rules of thumb to be validated against each team's live data.

  • Customer discovery — "The Mom Test" (Rob Fitzpatrick) interviewing discipline.
  • Working backwards — Amazon PR/FAQ method.
  • Market segmentation — "India-1/2/3" consumer framing (popularised in Indian VC reports, e.g. Blume Indus Valley).
  • Accelerator comparators — Y Combinator, Antler, Entrepreneur First, Techstars (publicly stated models).
  • Capability partners (examples) — Cursor / Replit, AWS Activate, Google for Startups, Mixpanel / PostHog, GrowthX, Razorpay & Razorpay Rize, Gupshup / AiSensy, Antler India, LetsVenture, Elevation Capital.
  • Pricing research — Van Westendorp price-sensitivity questions.
  • Colour theme & type — Nbyula design system (blue #1a60e8, Jove purple #5f2eea, green #12a05c, navy #0e2642; Hanken Grotesk + Geist Mono).

This is a strategy/program-design proposal for an interview assignment, not a factual market report. Quantitative targets should be re-derived bottom-up per venture.