CruxBit
Back to catalog
EasyBusinesseconomics

Gig Economy Worker Survey and Report

Added Jul 2026 3 design docs

Ask any college student how a food delivery app works and they will describe the customer side perfectly: the map, the countdown timer, the tip screen. Almost nobody can describe the other side, where a rider decides whether a 3.2 km trip paying ₹34 is worth the petrol, the twelve minutes of unpaid waiting outside a restaurant and the risk of a late-delivery penalty. Platform work has quietly become one of the largest sources of urban employment for young Indians, yet it fits into none of the neat categories a labour economics textbook offers, because there is no fixed wage, no fixed shift and no employer who absorbs the cost of the vehicle.

The intern measures that other side for one city. A structured questionnaire built in google-forms is administered face to face to at least 60 workers across food delivery, ride-hailing and quick commerce, six longer conversations add texture, and an earnings model in google-sheets converts gross app payouts into effective hourly earnings after fuel, EMI, maintenance, mobile data and unpaid waiting time. The evidence becomes a 14-16 page findings report, a 6-8 page policy brief carrying three costed recommendations, and a set of anonymised quote cards designed in canva.

Completing the project takes the intern through the full arc of applied labour economics: ethical survey design with informed consent, face-to-face fieldwork with a hard-to-reach population, cost-of-service modelling, percentile analysis instead of lazy averages, and the discipline of turning numbers into recommendations that name an owner and a price. Research firms, policy think tanks and development organisations hire precisely for this sequence, and a public repository of original primary evidence is far more persuasive at an interview than a certificate alone.

Related projects

You might also like

BusinessEasy

Financial Inclusion Awareness Survey and Brief

India has opened more than fifty crore basic savings accounts and made UPI a daily habit for millions, yet a vegetable seller with a working bank account may still borrow at five percent a month from a lender two lanes away, and may never have heard of a two rupee a month accident cover. Having an account and using the financial system are two different things, and the distance between them is where policy quietly leaks. That gap is measurable by anyone willing to sit with people and ask careful questions in their own language. The intern measures it for two localities. A fifteen-question assisted questionnaire built in google-forms is administered face to face to at least 120 respondents split between students or salaried workers and informal workers such as street vendors, auto drivers and domestic help, covering account use, digital payments, the low-cost insurance and pension schemes, borrowing sources and fraud awareness. Responses are coded in google-sheets into a ten-point awareness score, and the analysis becomes a twelve to fourteen page policy brief with three costed options plus a bilingual awareness poster designed in canva for a neighbourhood literacy camp. Completing the project takes the intern through questionnaire design, stratified sampling, consent and field ethics, index construction, cross-tabulation and the very specific craft of writing for a decision maker rather than an examiner. Development organisations, bank financial inclusion cells, microfinance institutions and research firms hire for exactly this combination, and the public repository leaves the intern with original field evidence and a brief that reads like professional work.

economicscanvagoogle-formsgoogle-sheets
PRD · HLD · LLD includedView
BusinessEasy

College Canteen Demand and Pricing Study

Every college canteen runs on guesswork. The contractor raises the samosa from 15 to 20 rupees, sales dip for a fortnight, and nobody can say whether the loss in volume was worth the gain in margin, because no one has ever drawn a demand curve for a samosa. Students grumble that the cold coffee is overpriced while the thali sells out by half past one, and the two facts are treated as unrelated complaints rather than as evidence about how price-sensitive each item really is. It is the closest thing a first-year economics student has to a laboratory. The intern turns that laboratory into a study. A short price-ladder questionnaire built in google-forms asks at least 120 students across two campus canteens how many units of five named items they would buy in a week at four different prices, producing demand schedules that are then converted in excel into arc elasticities, revenue curves and a revenue-maximising price for each item. A three-day footfall and queue count adds observed behaviour beside the stated answers, and the results become a chart pack, a six-page pricing memo, a proposed menu card designed in canva and a ten-slide deck for the canteen management. Completing the project takes the intern from textbook demand theory to a defensible pricing recommendation: writing survey questions that do not lead the respondent, building schedules from raw responses, computing elasticity with the midpoint formula, spotting where stated intentions and observed queues disagree, and presenting a price change to someone whose income depends on it. Market research firms, pricing and revenue teams, FMCG management trainee programmes and consulting analysts all interview for exactly this reasoning, and the public repository shows the intern doing it on real data.

economicscanvaexcelgoogle-forms
PRD · HLD · LLD includedView
BusinessEasy

Household Budget and Consumption Basket Study

Economics students meet Engel's law as a sentence in a textbook: as household income rises, the share of spending that goes on food falls. It is one of the oldest empirical regularities in the discipline, and it can be tested in a single neighbourhood in a single month with nothing more than a notebook and ten willing families. Yet most households in India have never seen their own spending written down by category, which is why a family earning a decent monthly income can still be surprised at the end of every month, and why the phrase household budget usually means a vague intention rather than a document. The intern runs a seven-day expenditure diary study across ten consenting households of deliberately different income levels. A short intake questionnaire in google-forms captures household size, earners and monthly income band, each family logs every rupee spent for a week on a printed diary sheet, and roughly 700 line items are categorised and analysed in excel to produce expenditure shares, food shares, an Engel scatter and per-capita comparisons. The findings become a 16-18 page report written in google-docs with a one-page profile for each household, a reusable budget planner workbook other families can actually download and use, and an explainer poster designed in canva. Completing the project takes the intern through household survey design, consent and privacy handling for financially sensitive data, expenditure classification into consistent categories, share and per-capita normalisation, and the interpretation of a real empirical law against a small and messy sample. This is the exact skill set behind consumer research, market sizing and development economics fieldwork, and the public repository leaves the intern with an original micro-dataset and a genuinely useful tool to point recruiters at.

economicscanvaexcelgoogle-docs+1
PRD · HLD · LLD includedView