the account she can't open

Problem statement

Mobile money — sending, receiving, saving, and paying via a phone-based account — is the primary on-ramp to formal finance for the world's unbanked, and across low- and middle-income countries women are roughly 36% less likely than men to own a mobile money account. The gap has not been closing; it widened from about 30% in 2021 to 36% by the latest measurement, even as the underlying technology spread. Behind this account gap sits a device gap: 945 million women in these countries do not own a smartphone, and 885 million use no mobile internet at all, with the deficit concentrated in South Asia (a 32% mobile-internet gender gap) and Sub-Saharan Africa (29%). A woman who cannot affordably own a phone, register a SIM, or transact at an agent is locked out of the fastest-growing channel for financial inclusion.

Why this matters

Mobile money accounts let people receive wages, government transfers, and remittances; smooth income shocks; and build a transaction history that can unlock credit — and women, who disproportionately manage household nutrition, health, and schooling spending, convert financial access into family welfare at high rates. The exclusion is not marginal: hundreds of millions of women are affected, and GSMA estimates that closing the mobile-internet gender gap alone would add $1.3 trillion to LMIC GDP between 2023 and 2030. When the rest of an economy digitizes payments — for utilities, agricultural buyers, social benefits — those left on cash are pushed further to the economic margin, so a stalled gap means the inclusion frontier is actively moving away from the women behind it.

What’s been tried and why it hasn’t worked

A decade of gender-inclusion programming — awareness campaigns, female-agent recruitment drives, digital-literacy trainings, and "design for women" product tweaks — has produced regional wins but failed to move the aggregate gap, which widened over the period. The failures cluster around treating symptoms in isolation rather than the stacked, reinforcing barriers women actually face. Handset affordability is decisive: an entry-level smartphone costs a woman an average of 24% of her monthly income — double the relative burden for men — so digital-skills training reaches women who still cannot buy the device the skills require. SIM and account registration require government ID, which women are less likely to hold. Restrictive social norms govern whether a woman may own a phone, travel to a male-staffed agent, or transact unsupervised, and safety concerns (harassment, fraud, scams) suppress use even where access exists. Single-lever interventions fail because removing one barrier leaves the others binding; the affordability, identity, norms, skills, and safety constraints have to fall together for a woman to actually transact.

What would unlock progress

The unlock is a bundled, sequenced intervention that clears the stacked barriers in the order a specific woman hits them, rather than a single program targeting one barrier for everyone — for example, pairing a financed low-cost handset with simplified ID-light onboarding (tiered KYC), a trusted female agent within walking distance, and a safety/fraud literacy module, validated against actual account-activation and sustained-use rates. Adjacent precedent exists: women's self-help-group and savings-group models in South Asia have moved financial behavior at scale by working through existing trusted social structures rather than around them, suggesting that channeling digital onboarding through women's existing groups may outperform individual outreach.

Entry points for student teams

A team could design the trial rather than run it: build the bundled onboarding pathway that recruits through an existing women's savings or self-help group in one named high-gap market, and hand a provider or NGO a ready-to-run package — recruitment and facilitation script, the barrier-sequencing logic, a measurement instrument, and a pre-registered evaluation plan whose primary endpoint is 90-day active use rather than sign-ups, since 90-day outcomes and a partner's willingness to alter live onboarding both sit outside a semester. A product team could prototype the tiered-KYC onboarding flow that lets an ID-poor woman open a basic, transaction-limited account, then test the prototype against one country's published KYC tiers and transaction caps and against women recruited locally from a diaspora community — desk research plus a usability lab, no provider relationship required. An economics team could model the handset-affordability barrier — comparing device-financing, shared-device, and subsidized-handset schemes against women's income profiles — using the World Bank's Global Findex microdata, whose country files are published in the Microdata Library's Global Findex collection (https://microdata.worldbank.org/index.php/catalog/global-findex; the 2021 round is listed as public-use files and the 2025 round as direct access, so no data-use application is needed). Relevant skills: human-centered design, behavioral economics, financial regulation, and field survey methods.