The question the DIU / Transform Rural India study asked was deceptively simple: what do women in rural and peri-urban India aspire to, economically? We were commissioned to answer it through primary research across a set of sites spanning different agro-ecological zones, caste compositions, and proximity to labour markets.
What we found in the first round of fieldwork was that the question, as framed, was the problem.
When research instruments ask about aspirations directly — "what kind of work would you like to do?", "what are your economic goals for the next five years?" — they activate a response mode that women in programme-heavy geographies know well. Decades of intake forms for government schemes, NGO enrolment processes, and baseline surveys have taught respondents what kind of answer sounds plausible and gets you enrolled. The answers come back quickly, they are coherent, and they are largely the same across sites: tailoring, teaching, self-help group leadership. Not because these are false — many women genuinely want these things — but because the framing of the question points toward a particular vocabulary and away from others.
The first methodological shift was moving from preference questions to scenario questions. Rather than asking what a woman wanted to do, we asked what she would do if a specific constraint were removed: if her eldest daughter could walk to school, if the family had an additional ₹3,000 per month, if her husband's work schedule were different. Scenario questions do not eliminate social desirability, but they shift the terrain. The answer to "what would you do if X" is harder to pre-script than the answer to "what do you want."
The second shift was using mobility mapping as a separate instrument rather than a verbal proxy. We asked women to draw or trace the geographic boundaries of their regular movement — where they went weekly, where they went seasonally, where they had been once or twice, and where they had never been but knew existed. What this produced was a spatial record of constrained aspiration: women who named distant cities as places they might want to work had often never travelled more than 12 kilometres from home. The gap between the named aspiration and the experienced geography was itself data.
The third shift was moving toward life-history prompts for the older women in our sample. Women in their forties and fifties who had made livelihood transitions — who had moved from agricultural labour to vegetable trading, or from home-based piece-rate work to a factory floor and back — carried empirical knowledge about what transitions were actually possible, what they cost, and what happened to household dynamics when a woman's income became visible. That knowledge was more useful to the study than any number of preference rankings.
What emerged across sites was a pattern we described as constrained aspiration. Women's aspirations were not absent or vague — they were often sharply specific. A woman in one peri-urban site could name the exact salary that would make a factory commute worthwhile and the exact bus timing that currently made it impossible. The constraint was not aspirational; it was infrastructural and relational. Husbands' discomfort with visible earnings, mothers-in-law's calculation of the labour cost of a woman leaving the household daily, the absence of any trusted childcare option — these foreclosed specific aspirations that women could describe in considerable detail.
This matters methodologically because livelihoods programmes designed from a preference-expression framework will consistently overestimate revealed demand for their interventions. If you ask whether women want income-generating opportunities and they say yes — which they nearly always do — you have learned almost nothing about uptake, persistence, or whether the programme has correctly identified the binding constraint.
IHDS-II microdata and PLFS data on female labour force participation at the district level served as anchor points for contextualising the sample sites. Oxfam India's 2023 inequality report provided relevant benchmarks on gender and economic participation.