Skip to content
Inclusive enterprise

Why More Training Apps May Not Be Enough for Women Entrepreneurs in Ethiopia

What Ethiopian experimental evidence suggests about digital learning, onboarding, completion and the support that entrepreneurs may actually need.

By BDS Portal Editorial DeskEdition Published Reviewed
A professional woman in a workspace illustrating entrepreneurship
Illustrative photograph via Unsplash; not a documented Ethiopian client project or field visit.

An app can make a course available without making it usable in a busy entrepreneur’s working life. Access to a phone is only one condition for learning. Time, confidence, language, support and the way the course connects with business decisions also matter. For women running small enterprises, a digital programme may need to fit around customer service and other responsibilities that do not stop when a lesson becomes available.

The current enthusiasm for AI-enabled learning and inexpensive online training makes these questions especially relevant. This article looks at evidence from Ethiopia and translates it into a programme-design exercise. It does not claim that all women entrepreneurs face the same constraints or that one delivery mode is always superior. The examples are fictional planning scenarios. Their purpose is to help a training organizer ask what participants need to begin, continue and apply the learning rather than treating enrolment as the final result.

Begin with the Ethiopian evidence and its limits

A World Bank research summary published in April 2025 describes a randomized comparison of app-based and in-person training for 2,000 women entrepreneurs in Ethiopia. It reports challenges with sustained app engagement and cautions against assuming that low delivery cost translates into strong completion or business outcomes. The participants were selected to make digital participation relatively feasible, so the findings should not be generalized to every entrepreneur without examining the study design. [World Bank: Are apps a game changer for women’s business training? Evidence from Ethiopia]

That evidence is useful because it challenges a simple technology story. A programme can make content easier to distribute while leaving important obstacles unresolved. It does not follow that digital training should be abandoned. It follows that organizers should test the actual participation process and describe its limitations. The same distinction applies to a new AI tutor: availability, use, learning and business application are separate questions that require different observations.

Ask participants about a real working week

Before choosing the course schedule, explore when participants can realistically concentrate. Ask about the pattern of customer demand, responsibilities at the business and access to a suitable learning space. Do not assume that a short lesson can be completed at any time merely because it is delivered by phone.

In a fictional programme for small retailers, some participants may have quiet periods early in the day while others need to prepare stock or serve customers then. A fixed assumption about the best time could exclude people who would otherwise benefit. Offer a clear explanation of the expected time commitment and ask participants to test it against an ordinary week. This is more informative than asking whether they like the idea of flexible learning. A design discussion should make it safe to describe constraints without presenting them as a lack of motivation or ambition.

Test onboarding as part of the programme

Registration and the first successful login are not administrative details outside the learning process. They are early tasks that participants must complete. Observe whether a person can access the material, return to the correct place and find help after an interruption. Use the actual device and connection arrangements where feasible.

The Ethiopian study summary highlights the importance of in-person help with getting started, even in a programme built around digital delivery. [World Bank: Are apps a game changer for women’s business training? Evidence from Ethiopia] An organizer can turn that insight into a practical test without assuming the same result will occur everywhere. Run a small onboarding session, then ask participants to return independently later. Record where they get stuck. If a password reset or confusing navigation repeatedly stops progress, resolve that issue before expanding recruitment. A course with excellent content can still fail to reach its learners through an unclear entry process.

Design learning around a useful business decision

Participants should be able to see why an exercise deserves time away from other work. A broad lesson about business success can feel distant from a retailer trying to understand stock movement or an owner preparing a service quotation. Choose a task that connects the curriculum with an observable decision.

For the fictional retail programme, a module might ask participants to record one product’s stock movements over a defined period and identify questions raised by the record. The learning objective would be to prepare and interpret the record correctly, not to promise a particular increase in earnings. Offer a fictional example for people who cannot or should not share their own business data. This protects privacy while preserving the practice. A relevant exercise should be achievable with the resources participants actually have, rather than relying on a complicated tool introduced only for the course.

Offer support without removing participant agency

Support should help people solve the problem they encounter, not assume that every participant needs the same assistance. Provide a clear way to ask for help and explain what response to expect. Different questions may need different people: a technical access problem is not the same as uncertainty about a business exercise.

Ask participants which support channels are workable and comfortable. A public messaging group may be useful for general reminders but unsuitable for discussing private business information. Consider individual alternatives for sensitive questions. Establish expectations for respectful communication and avoid making support depend on personal availability outside agreed hours. The programme should preserve an entrepreneur’s control over what she shares. A learning community can create useful encouragement, but participation should not require disclosure of personal circumstances or confidential business records to a group of strangers.

Build commitment through achievable steps

Digital flexibility can make it easy to postpone a lesson indefinitely. A programme can respond with manageable milestones and opportunities to discuss progress. The aim is to make continuation practical, rather than using pressure or public comparison to force participation.

For example, participants could complete a short activity before a scheduled group discussion and bring one question about applying it. A reminder should explain the next action clearly and link to the correct material. If someone falls behind, offer an understandable route back into the programme rather than presenting a growing list of missed tasks. Test whether the milestone design supports learning or merely increases message traffic. A high number of reminders does not establish engagement. The useful evidence is whether participants can complete the task, explain it and return to the next activity with a realistic understanding of what is expected.

Measure more than the number of registrations

Recruitment is one stage of the programme. Track initial access, meaningful participation, completion of relevant exercises and the ability to apply the target skill. Define these measures before delivery so that the organizer does not change the definition of success after seeing the results.

The ILO trainer’s guide places monitoring and evaluation within a broader training cycle that includes preparation and follow-up. It is a useful reference for keeping those activities connected. [ILO: Start and Improve Your Business generic trainer’s guide] In the fictional programme, a participant might watch every lesson but still struggle to interpret a stock record. Another might complete fewer optional activities while demonstrating the target skill accurately. A transparent evaluation distinguishes those patterns instead of reducing both people to a single completion percentage. It should also record who did not participate and what is known, or not known, about the reasons.

Compare delivery costs on a consistent basis

An app may reduce the cost of distributing another copy of a lesson while still requiring recruitment, onboarding, support and review. Include those activities when comparing delivery models. Also consider the time participants spend resolving technical problems or travelling to a support session.

Use a clear unit for the comparison. Cost per enrolled person answers a different question from cost per participant who completes an assessed task. Neither figure alone proves a business impact. The organizer should state the observation period and the activities included. If the pilot is small or unusually well supported, explain why its costs may differ from a later programme. A transparent comparison can show where digital delivery is useful without treating it as a universal low-cost replacement for every form of personal contact, practice and feedback.

Do not use AI to hide a support gap

An AI tutor may answer common questions or help a learner find material, but it can also produce an incorrect explanation confidently. A programme should decide which questions it can handle and which require a person. Participants need to know when an answer is automated and how to challenge it.

Use fictional test questions before introducing the feature. Include a misunderstood business concept, a question outside the course and a request involving private information. Review the responses against the approved curriculum. Do not describe the feature as expert business advice simply because it responds quickly. Its usefulness depends on the content, the controls and the support process around it. A tool that increases the number of answers while leaving participants unsure which answer to trust can add another layer of difficulty rather than removing a barrier to learning.

Design for participation, then investigate outcomes

The lesson from the Ethiopian evidence is a reason for careful design rather than a blanket verdict on digital learning. Ask whether participants can access the course, continue through it and apply a defined skill. Then examine what changed in their business practice, with an honest account of other factors that may affect the result.

For a training provider, the next useful investment may be a better onboarding test, clearer exercises or more responsive follow-up. Those choices can be evaluated through a small pilot before a large rollout. Women entrepreneurs are not a single user profile, and an app is not a complete programme by itself. A credible learning offer makes room for those differences and produces evidence about the experience it actually delivers, rather than assuming that the convenience promised by the technology is the convenience participants receive.

Methodology and sources

Prepared by the BDS Portal Editorial Desk using primary-source desk research in inclusive enterprise. Factual statements are linked to their source; proposed workflows and fictional examples are editorial analysis. The collection was drafted with AI assistance. No independent field interviews, original survey or external professional audit was performed.

Data limitations: The Ethiopian research used a selected participant group and a particular intervention. Its results cannot establish that one delivery mode is best for every woman entrepreneur.

  1. World Bank: Are apps a game changer for women’s business training? Evidence from Ethiopia. Source checked 6 November 2026.
  2. ILO: Start and Improve Your Business generic trainer’s guide. Source checked 6 November 2026.

Edition dates organize this collection and do not claim prior online publication. This article was prepared for publication and reviewed on 6 Nov 2026. Read our editorial standards or send a correction with the article URL to [email protected].