Building the World’s First Nonprofit Around WHO Step-by-Step: Lessons from Kaya Guides’ Launch Year

Most nonprofits are founded by people who have lived experience of a problem, or who stumbled into a cause through circumstance. Kaya Guides was founded differently: it was selected, incubated, and launched by Ambitious Impact (also known as Charity Entrepreneurship), a research-driven incubator that uses systematic evidence review to identify the most cost-effective opportunities for new organizations to create impact.

The decision to build Kaya around WHO Step-by-Step was not intuitive or serendipitous. It was the product of a rigorous analysis of the global mental health landscape, the evidence base for different intervention types, the cost-effectiveness of delivery models, and the gap between existing provision and addressable need. That analytical foundation shapes everything about how Kaya was built — and provides a distinctive set of lessons for charity entrepreneurs and NGO leaders thinking about how to enter high-need, evidence-rich spaces.

This post draws on Kaya’s first year of operations — from launch in August 2023 through approximately mid-2024 — to examine what worked, what was hard, and what the organization’s early trajectory suggests about the challenges and opportunities of building at the frontier of global mental health.

Why Step-by-Step, and Why Now

Understanding Kaya’s launch requires understanding the analytical process that produced it. Ambitious Impact’s approach to identifying incubation opportunities involves several stages: systematic literature review across cause areas, cost-effectiveness modelling of candidate interventions, assessment of the organizational landscape (are effective organizations already doing this?), and evaluation of founding team fit.

The case for guided digital self-help for depression in LMICs emerged from this process for several reasons. The evidence base was unusually strong: five randomized controlled trials of WHO Step-by-Step, totalling more than 2,200 participants, producing consistent effect sizes comparable to face-to-face therapy. The cost-effectiveness was exceptional: approximately $97 per DALY averted at projected scale, competitive with malaria bed nets and other top-tier global health interventions. And the organizational landscape had a clear gap: no organization was systematically scaling the Step-by-Step model with the rigor and focus that the evidence warranted.

That last point is crucial. The decision to incubate a new organization rather than support an existing one rests on a gap analysis. If high-quality organizations are already working effectively in a space, the marginal return to incubating a new one is low. If the space is neglected — if the evidence exists but no one is doing the work — then a new, purpose-built organization can generate substantial additional impact.

Global mental health, and specifically guided digital self-help for depression in LMICs, was genuinely neglected. The WHO had developed Step-by-Step but lacked the mandate and infrastructure to operate a direct service delivery organization. Academic researchers had conducted the trials but were not in the business of scaling programs. Existing NGOs in the mental health space were mostly not working at the intersection of digital delivery, lay counselors, and rigorous evaluation that Step-by-Step represents. The gap was real.

Building the Model: The First Decisions

Kaya launched in India — a decision driven by a combination of factors: large depression burden, high WhatsApp penetration, a regulatory environment that allows lay counselor delivery of psychosocial support, and the ability to operate in English alongside local languages, which simplified early-stage operations before full localization infrastructure was in place.

The core operational model was established from the outset around the counselor-to-participant ratio that the evidence supports: one trained lay counselor per approximately 400 enrolled participants per year. Each counselor conducts the weekly 15-minute check-in calls that research shows are essential for differentiating guided from unguided self-help outcomes. The counselors are recruited from local communities, trained by Kaya, and supervised on an ongoing basis.

This model has direct implications for unit economics. The primary variable cost in the program is counselor time — a fixed number of hours per participant per week, regardless of how many total participants are enrolled. Technology costs (WhatsApp Business API access, participant management systems) are relatively low and scale favorably with volume. The implication is that Kaya’s per-participant cost should decline as the organization grows, with fixed overhead costs spread across a larger participant base.

By mid-2024, approximately 3,600 participants had been served. This is meaningful at the level of individual lives improved, but it is orders of magnitude below the potential scale of the program’s addressable population.

Lesson 1: The Counselor Model Is the Core Challenge

If there is one operational lesson that dominates Kaya’s first year, it is this: building and maintaining a high-quality lay counselor workforce is harder than it appears, and it is the central challenge to scale.

Recruiting counselors from local communities addresses several problems simultaneously: it keeps costs lower than professional alternatives, it provides cultural and linguistic proximity to participants, and it creates local employment. But it also creates challenges that professional workforce models don’t face.

Lay counselors are not career mental health workers. Many are taking on this role alongside other responsibilities. Turnover can be significant — people move, circumstances change, and the emotional demands of supporting people through depression are real even with only 15 minutes of contact per participant per week. Maintaining quality and consistency requires supervision infrastructure that itself requires skilled staff to deliver.

The supervision model matters as much as the training model. Initial training prepares counselors for the role, but ongoing supervision is what maintains quality, identifies counselors who are struggling or drifting from protocol, and provides a pathway for continuous improvement. Building this infrastructure — the supervisors, the supervision protocols, the quality monitoring systems — is less visible than the counselor training itself but at least as important.

For organizations entering this model, the implication is to invest in supervision infrastructure earlier than feels necessary. The cost of poor-quality counselor delivery isn’t just reduced program effectiveness — it’s reputational and ethical risk at a level that could compromise the organization’s ability to operate.

Lesson 2: Technology Is an Enabler, Not the Product

The shift from a dedicated app to WhatsApp delivery that occurred in later iterations of Step-by-Step reflects a broader lesson: the technology platform that works best is the one that participants actually use, regardless of how sophisticated it is.

WhatsApp has penetration rates above 80-90 percent in many of Kaya’s target markets. It doesn’t require a new download, a new account, or a learning curve. It works on low-end smartphones with limited data connections. And critically, it integrates the program into a communication tool that participants already use for family and social contact, reducing the sense of separateness that can make engaging with a mental health program feel like a stigmatized act.

The lesson for NGO leaders is to resist the pull of technology-forward thinking in program design. The most elegant app, the most sophisticated AI-driven chatbot, the most feature-rich digital platform is worth less than a solution that participants encounter where they already are. Technology should serve the program model, not define it.

This has a second implication for cost and maintenance. Purpose-built apps require continuous development investment to remain functional across operating system updates, device generations, and platform changes. WhatsApp delivery offloads much of this maintenance cost to Meta. For a small nonprofit operating in resource-constrained conditions, this operational simplification is valuable.

Lesson 3: Cultural Adaptation Is Non-Negotiable, But It Doesn’t Mean Reinventing the Wheel

Step-by-Step was developed by the WHO and has been tested in five different countries. It is not a context-neutral program — it was designed for LMIC contexts — but it still requires meaningful adaptation when deployed in a new setting.

Cultural adaptation is often framed as a choice between fidelity to the evidence-based protocol and responsiveness to local context. In practice, the distinction is not so stark. The core therapeutic content of Step-by-Step — the behavioral activation model, the problem-solving techniques, the cognitive restructuring approach — is not culturally specific. What requires adaptation is the packaging: the language used to describe depression and its treatment, the examples and scenarios used to illustrate concepts, the activities suggested for behavioral activation, and the way counselors are trained to communicate with participants from specific cultural backgrounds.

Kaya’s approach has been to maintain fidelity to the core protocol while investing in genuine local adaptation of the surrounding content. This requires people with both deep local knowledge and sufficient understanding of the therapeutic model to make adaptation decisions that preserve effectiveness. Finding and developing that combination of expertise is itself a significant organizational investment.

The broader lesson for charity entrepreneurs adapting evidence-based programs is: don’t assume that what looks like cultural context is actually relevant to outcomes. Be rigorous about distinguishing adaptations that protect effectiveness (maintaining the core therapeutic model) from adaptations that improve engagement and accessibility (language, examples, communication style). Both matter, but for different reasons, and conflating them can lead to adaptations that undermine the evidence base in the name of responsiveness.

Lesson 4: Theory of Change Clarity Is Operationally Valuable

One of the advantages of being incubated by an evidence-first organization is that Kaya launched with an unusually clear theory of change. The pathway from inputs (counselor time, technology, training) to outputs (completed program sessions) to outcomes (reduced depression symptoms) to impact (DALYs averted, WELLBYs gained) was specified before the first participant enrolled, with evidence-based estimates at each step.

This clarity is operationally valuable in ways that aren’t always obvious. When something goes wrong — completion rates are lower than expected, counselor quality varies, a particular cohort shows weaker outcomes — having a specified theory of change provides a diagnostic framework. Where in the causal chain is the problem? Is it at the output level (participants not completing sessions) or the outcome level (completers not showing symptom improvement)? The answer points to very different operational responses.

Organizations that launch without this clarity often can’t answer these diagnostic questions, which means they can’t improve efficiently. They know their metrics aren’t where they want them to be, but they don’t know where to intervene.

For charity entrepreneurs, the investment in rigorous theory of change development before launch — specifying not just the ultimate goal but each link in the causal chain, with evidence-based estimates of what each link should produce — pays operational dividends that compound over time.

Lesson 5: The First Year Is About Learning, Not Scale

3,600 participants in the first year is a meaningful number. It is not, however, the number that demonstrates Kaya has achieved its scaling mission. That mission is measured in the hundreds of thousands and millions of people who have access to effective depression treatment in settings where no alternative exists.

Framing the first year as primarily a learning exercise — not a failure to scale, but a successful acquisition of the knowledge needed to scale well — is both accurate and strategically important. The learning from year one includes: what participant recruitment channels work in the Indian context; how long counselor training takes to produce reliable quality; what the actual completion rate distribution looks like and what predicts completion; where the technology friction points are; what the per-participant cost actually is relative to projections.

This learning is the essential foundation for year two growth. An organization that tried to scale from launch without accumulating this learning would scale its problems alongside its reach. The discipline to build carefully, measure rigorously, and grow only as fast as the organizational learning can support is a hallmark of well-run NGOs — and one of the lessons that the charity incubation model is particularly well-positioned to instil.

What Comes Next

Ambitious Impact’s research identified ten priority countries for Step-by-Step expansion: Pakistan, China, Nigeria, Bangladesh, Indonesia, Egypt, Brazil, Tajikistan, Ethiopia, and Malaysia. Each represents a combination of high depression burden, sufficient digital infrastructure, and limited existing provision that makes it a strong candidate for Kaya’s model.

Geographic expansion is the primary vector for impact growth over the next several years. Each new country requires the full stack of operational investment — counselor recruitment and training, cultural adaptation, technology localization, health system partnerships, and regulatory compliance. The organizational capacity to manage this complexity while maintaining program quality is the central organizational development challenge Kaya faces.

For the field more broadly, Kaya’s trajectory in its second and third years will be informative for the question that all promising early-stage NGOs eventually face: can the model that worked in the founding context be replicated at scale, across contexts, without sacrificing the quality and fidelity that made it work in the first place? The evidence suggests it can. The execution is what will determine whether that evidence is realized.

To learn more about Kaya Guides, its work, and how to support its expansion, visit besidehealth.org.