Interview Case: Market Expansion

Simple case about expanding a restaurant chain to new cities.

# Aplly.xyz Case Study Submission

## Title
Interview Case: Market Expansion

## Type
Business Strategy & Consulting

## Difficulty
Intermediate

## Estimated Time
60 minutes

## Overview
Simple case about expanding a restaurant chain to new cities.

## Case Details

Function Focus: Business Strategy & Consulting — manual reasoning, decomposition, and critical judgment (no spreadsheet or AI tool permitted in Phase 1)

Scenario:
You are the analyst at a fictional consultancy ("Praxis Advisors") tasked with answering: Interview Case: Market Expansion. You have a clean, synthetic dataset described below. You must produce a defensible answer using structured reasoning — no tool-assisted shortcut on the first pass.

Dataset Structure:
- market
- population_lakhs
- gdp_per_capita_usd
- internet_pct
- smartphone_pct
- competitor_count
- regulatory_ease
- market_share_leader_pct
- avg_revenue_per_user
- growth_rate_pct
- entry_cost_cr

Tasks:
1. Frame the strategic question and decompose it into the 2-3 forces/components that matter most.
2. Quantify the market/opportunity using back-of-envelope estimates from the dataset; list every assumption.
3. Evaluate 2-3 strategic options against the quantified picture using a decision matrix.
4. State the single most important risk and the assumption whose failure would change the recommendation.
5. Only after the manual pass, stress-test your numbers with a spreadsheet or tool.

Expected Output:
A one-page strategy memo: decomposition, quantified market picture, option scorecard, recommendation + key risk.

Evaluation Criteria:
Decomposition quality, explicit assumptions, quantified reasoning, balanced risk assessment.

## Data Sources

| market | population_lakhs | gdp_per_capita_usd | internet_pct | smartphone_pct | competitor_count | regulatory_ease | market_share_leader_pct | avg_revenue_per_user | growth_rate_pct | entry_cost_cr |
|---|---|---|---|---|---|---|---|---|---|---|
| Mumbai Metro | 185 | 5200 | 82 | 91 | 15 | Medium | 28 | 4500 | 11.2 | 350 |
| Delhi NCR | 165 | 4800 | 79 | 88 | 12 | Medium | 32 | 4100 | 10.8 | 320 |
| Bangalore | 85 | 6100 | 88 | 94 | 18 | High | 18 | 5200 | 14.5 | 280 |
| Hyderabad | 75 | 4500 | 76 | 85 | 10 | Medium | 22 | 3600 | 12.3 | 200 |
| Chennai | 70 | 4200 | 74 | 82 | 9 | Medium | 25 | 3400 | 9.6 | 180 |
| Kolkata | 140 | 3200 | 65 | 72 | 7 | Low | 35 | 2200 | 7.4 | 250 |
| Pune | 55 | 4800 | 80 | 88 | 11 | Medium | 20 | 3800 | 13.1 | 150 |
| Ahmedabad | 65 | 3600 | 71 | 79 | 6 | Low | 30 | 2800 | 9.2 | 120 |
| Jaipur | 40 | 2800 | 62 | 68 | 4 | Low | 40 | 1900 | 8.5 | 80 |
| Lucknow | 45 | 2400 | 58 | 65 | 3 | Low | 45 | 1600 | 7.1 | 70 |


Full dataset: https://github.com/arora200/aplly_case_db/datasets/044-consulting-market-expansion (synthetic, 12 records)

## Solution Frameworks
Porter 5-forces / market-entry framing, decomposition tree, scenario & sensitivity analysis, prioritization matrix

## Solver Guidance & Tutorials
_Solver guidance added by the pipeline (tutorial links) — see `solver_guidance` field._

## What You'll Learn
- Decompose fuzzy strategy questions
- Quantify markets with assumptions
- Compare options with a decision matrix

## Tags
Consulting, Market Entry, Interview

## Registration Links
Register as Solver / Register as Evaluator