Engineers Clinic
AdvancedBusiness trackFP-MBA-08

Pricing study with a choice-based conjoint for a subscription product

Design a choice-based conjoint survey, estimate what customers value, simulate prices against competitors, and recommend a price and plan structure with a test plan.

Business & ManagementSales
6 Guided Steps36h Internship TierSubmit: Pricing frame + survey design + synthetic response data with generator + conjoint estimation notebook + market simulator + recommendation deck with test planVerified CertificateAI Rubric Graded
Program Overview

Industry project · for Pantry & Pan, a UK meal-kit subscription company with 41,000 active subscribers

Pantry & Pan delivers recipe boxes across Great Britain. It has 41,000 active subscribers on a plan of 3 recipes for 2 people a week at £4.20 per serving, about £25.20 a box, with delivery included. Ingredient and delivery costs have risen by about 14% in two years, and gross margin has fallen from 38% to 29%. The board wants margin back above 34%.

The commercial director does not want to simply raise prices, because monthly churn is already 9% and two competitors are discounting heavily. She wants to know what customers actually value and what they will pay for: more recipe choice, faster delivery slots, recyclable packaging, or a cheaper plan with fewer options.

You are the pricing analyst. In eight weeks you will: - frame the pricing problem and the hypotheses to test; - design a choice-based conjoint survey with attributes such as price per serving, recipe choice, delivery window, packaging and a pause option, plus a Van Westendorp price sensitivity block; - simulate 600 responses from a stated utility model, so you can check that your analysis recovers the values you put in, and treat the result as your survey data; - estimate part-worth utilities with a multinomial logit model; - build a market simulator with two competitor offers and find the revenue- and margin-maximising price and plan; - recommend a price and plan structure, with a live A/B test plan to confirm it.

Done means a recommendation that names the price per serving and plan features, the expected effect on take-up and margin, the risk to churn, and a test that would confirm or reject it within six weeks.

Pricing strategySurvey and experiment designChoice-based conjointMultinomial logitMarket simulationA/B test design
What you submit

Pricing frame + survey design + synthetic response data with generator + conjoint estimation notebook + market simulator + recommendation deck with test plan

Stack: Python with pandas and statsmodels or pylogit, or R, Excel or Google Sheets, A survey tool such as Google Forms or Qualtrics (for the design mock-up), PowerPoint or Google Slides

How it is graded
  • Sharp framing15

    The pricing decision, margin target, constraints and hypotheses are written before the survey design.

  • Sound survey design20

    Attributes and levels are realistic, the design is balanced, and the price block is well formed.

  • Correct estimation25

    The model recovers the known utilities from the synthetic data and part-worths and willingness to pay are reported with uncertainty.

  • Useful simulation25

    The simulator compares plans against two competitors and finds a price that meets the margin target with stated churn risk.

  • Testable recommendation15

    The recommendation names price and features and includes an A/B test with sample size and decision rule.

Pass 60% · Merit 75% · Distinction 90%

Learning Outcomes
Frame a pricing decision with hypotheses
design a conjoint experiment
estimate part-worths and willingness to pay
simulate shares against competitors
recommend a price and test it
Target Audience

Engineering Students

Diploma, B.Tech, B.E., BCA, MCA, or M.Tech students seeking practical experience.

Aspiring Developers

Developers who want to build proof-of-work capstone projects for tech resumes.

Job Seekers

Graduates looking for AI-evaluated code review & verified industry credentials.