Too often, interventions intended to reduce inequities and improve quality of life fail to reach those who need them most because they are not guided by local evidence or designed to be cost-effective.
More lives can be impacted through interventions that work and are cost-effective.
Who We Are
Operating at the intersection of digital innovation and research
Evidence for Good (E4G) is a social impact organization partnering with stakeholders to generate evidence and deploy cost-effective solutions that advance equity and meaningfully improve lives.
Vision
A world where anyone can achieve their potential regardless of who they are and where they are born.
Mission
To meaningfully improve the lives of those who need it most by delivering evidence-based, cost-effective solutions in partnership with governments, institutions, and communities.
How We Work
Our approach — five guiding principles
01
Does it improve lives, and for whom?
We ask whether every intervention leads to meaningful improvements and at what cost.
02
Partnerships for shared impact
Grounded in shared objectives and mutual commitment to results.
03
Co-design with those affected
No one understands the problem better than those who live it.
04
Technology as a tool for impact
We deploy technology selectively — where it demonstrably improves outcomes.
05
Evidence for scale & local ownership
We build pathways for sustainable, locally-led adoption from the outset.
What We Do
Our services
We partner with governments, institutions, and communities to design, test, and scale what works.
Intervention Design & Deployment
Co-designing evidence-informed interventions with communities and institutions for real-world feasibility.
Evidence Generation & Impact Evaluation
Generating credible evidence through rigorous evaluation to assess what works and for whom.
Equity-Informed Cost-Effectiveness Analysis
Ensuring resources flow to interventions delivering the most benefit for the most vulnerable.
Impact Modelling & Scale Strategy
Mathematical modelling to project impact and design responsible, evidence-based pathways to scale.
Technology-Enabled Solutions
Deploying digital and AI tools selectively where they demonstrably improve outcomes at scale.
Digital Health · Nigeria
Tackling Maternal Anaemia Using AI-Enabled Reminder & Risk Stratification Tools
Using low-cost technology and AI to improve antenatal care adherence and identify high-risk mothers across Nigeria.
Explore this project
Mathematical Modelling · Nigeria
Investigating the Human Cost of Declining Donor Support for HIV and TB Care
Deploying mathematical modelling to evaluate the real-world impact of funding cuts on the most vulnerable populations.
Explore this project
Our Work
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Digital Health · Nigeria
Tackling the Silent Crisis of Maternal Anaemia in Nigeria Using AI-Enabled Reminder & Risk Stratification Tools
22%
of maternal deaths linked to anaemia
10M+
mothers & newborns at risk
58%
of pregnant women in Nigeria are anaemic
5M+
pregnant women we aim to reach
Maternal anaemia is a silent killer in Nigeria, contributing to over 22% of the country's 75,000 annual maternal deaths and placing more than 10 million mothers and newborns at risk of poor outcomes (WHO, 2023). We are tackling this problem where it matters most: at primary health clinics within rural and underserved communities that are most affected. We are deploying simple but tailored behaviour-focused reminder messages and a risk stratification tool to solve this problem.
Why This Matters
National data from 2023–2024 (NDHS) show that 58% of pregnant women in Nigeria are anaemic. The burden is particularly severe in Northern Nigeria, where only one in every three pregnant women completed four antenatal care (ANC) visits and nearly half did not take any iron/folic acid (IFA) supplements.
Our pre-pilot survey confirmed that forgetfulness, fear of drug side effects, low health literacy, and weak follow-up drive poor IFA adherence. Although national guidelines recommend haemoglobin testing at the first antenatal visit, many primary health centres lack the equipment to routinely screen for anaemia — so it is frequently detected late or only after symptoms appear.
With over 90% mobile phone penetration in Nigeria, these challenges can be addressed through digital tools — if they are co-designed with the women who need them.
Building on Evidence
In Phase I, implemented in Kwara State, we used a person-based approach to map the sociocultural and behavioural drivers affecting ANC attendance and IFA use, and co-designed a culturally grounded reminder system with pregnant women and their families. The solution includes reminders for antenatal care visits and daily supplement use, alongside clear health information on nutrition, infection prevention, and pregnancy care. Messages are delivered in women's preferred languages, complemented by community health workers' follow-up for women who may need extra attention. While early results were promising, we found that generic messaging does not address individual women's needs or proactively identify those at high risk of poor outcomes.
Next Steps — Phase II
In line with WHO's identify–reach–deliver guidance, we are now prototyping an AI-risk stratification tool to identify women at the highest risk of adverse outcomes, enabling timely intervention. In Phase II, we aim to scale responsibly through:
1
Model Improvement
Collecting data from approximately 2,500 women across all six geopolitical zones in Nigeria to train a robust and representative AI model.
2
Technology for All
Developing a low-tech application that delivers personalised messages via SMS, WhatsApp, and IVR in local languages, while flagging women at high risk of anaemia.
3
Capacity Building
Training frontline health workers in anaemia management using AI-enabled digital tools.
4
Evaluation
Conducting a 6–9 month field evaluation of effectiveness (RCT) and cost-effectiveness. If effective, we will open-source the tool to enable rapid adoption by governments and partners.
Potential Impact
This project has the potential to reach more than 5 million pregnant women and impact more than 7 million newborns annually across Nigeria.
Call to Action
We invite policymakers and funders to join us in translating evidence into policy, financing sustainable scale-up, and ensuring every mother has the information and care she needs to survive and thrive.
Mathematical Modelling · Nigeria
Investigating the Human Cost of Declining Donor Support for HIV and TB Care
RSTMH
Grant-funded research
80+
HIV care sites disrupted in Nigeria
Nigeria
Primary study setting
We are pleased to announce that the Evidence for Good Research Director has been awarded a grant from the Royal Society of Tropical Medicine and Hygiene (RSTMH). This funding will support a critical project aimed at examining the real-world impacts of declining international donor support on the most vulnerable populations living with HIV and TB in Nigeria.
Why This Matters Now
For decades, international aid has served as a lifeline for millions of people affected by HIV, TB, and other tropical diseases. However, as international funding dwindles — evidenced by recent disruptions to more than 80 "One-Stop Shops" for HIV care in Nigeria alone — the safety net is rapidly falling apart.
This project goes beyond statistics to capture lived realities. For women, children, and marginalised groups, funding cuts often mean impossible choices between buying food or buying medicines, staying home sick or risking job loss, and enduring illness in silence or facing stigma through disclosure. These underexplored consequences risk compounding poverty, deepening inequality, and reinforcing systemic neglect — underscoring the urgent need for evidence-based, actionable solutions.
Our Goal
We are stepping in to quantitatively measure the impact on physical health, mental well-being, and financial security. By combining community-based surveys with advanced mathematical modelling, we aim to quantify what is truly at stake and the real cost of inaction. The resulting evidence will be critical to:
1
Inform national health financing reforms and prioritise the most vulnerable populations.
2
Strengthen the case for increased investment by local governments and philanthropies.
3
Support a shift from reliance on volatile international aid toward resilient, self-sustaining health systems across Africa and other resource-constrained settings.
Who We Are
About Us
Meet the people and principles behind Evidence for Good.
Our Organisation
Driven by evidence. Committed to equity.
Evidence for Good (E4G) is a social impact organization operating at the intersection of digital innovation and research. We partner with stakeholders to generate evidence and deploy cost-effective solutions that advance equity and meaningfully improve lives.
Our work spans health systems, digital health, and health financing — wherever the evidence points to the greatest opportunity to improve the lives of those who need it most.
Vision
A world where anyone can achieve their potential regardless of who they are and where they are born.
Mission
To meaningfully improve the lives of those who need it most by delivering evidence-based, cost-effective solutions in partnership with governments, institutions, and communities.
What Guides Us
Our core values
Six values that shape how we work every day.
I
Impact
At the heart of our work is a deep commitment to improving people's lives. We focus on interventions that deliver tangible benefits, prioritising real-world outcomes over abstract inputs.
E
Evidence-Driven
Passion fuels our commitment to solving problems, yet we always lead with evidence. We are strongly committed to obtaining and using the best available evidence to chart a course.
X
Excellence
Whatever is worth doing at all is worth doing well. We are dedicated to delivering the highest standards of technical and operational excellence in all we do.
A
Authenticity
We communicate with honesty and clarity, addressing challenges as they are rather than as we wish them to be. Until gaps are fully acknowledged, they are rarely filled.
P
People-First
The greatest asset we have is not the tools, data, or skills we possess — but the people we work with. We treat one another with fairness, dignity, and respect.
L
Local Ownership
The most impactful and sustainable solutions are those co-created and ultimately led by those most affected by the challenge.
The People
Our team
Each person bringing their own skills, talents and ambitions to our shared mission.
Placeholder Name
Research Director
Leading evidence generation, impact evaluation, and partnerships with global health institutions.
Placeholder Name
Digital Health Lead
Designing and deploying technology-enabled solutions for maternal and community health.
Placeholder Name
Policy & Partnerships Lead
Building government and institutional partnerships to translate evidence into policy and sustained investment.
Placeholder Name
Data & Modelling Specialist
Mathematical modelling and cost-effectiveness analysis to quantify impact and inform scale decisions.
Work With Us
Find out what we can do for you
Book an introductory meeting to explore how we can support your work.
How We Work
Our Approach
We believe the most effective way to improve people's lives is by deploying solutions that are proven to work, cost-effective, and capable of reaching those who need them most. Our work is guided by five core principles.
01
We ask whether the work meaningfully improves people's lives, and for whom
For every intervention, we ask whether it leads to meaningful improvements in people's lives, how many people benefit, and at what cost. We actively seek existing evidence to assess the strength and credibility of proposed solutions.
Where evidence is limited or absent, we prioritise generating it through small, focused testing before scaling. This approach allows us to learn quickly, allocate resources responsibly, and avoid investing in interventions that do not deliver meaningful impact.
02
We seek partnerships grounded in shared objectives and mutual commitment to impact
We value partnerships grounded in shared objectives and a mutual commitment to impact. Our partners contribute essential resources — including funding, technical expertise, operational platforms, policy engagement, and local knowledge — that enable us to design, test, and scale effective interventions.
We approach partnerships as collaborative, long-term relationships focused on co-creation, shared learning, and accountability for results.
03
We design solutions together with those who are directly affected
We believe that no one understands the problem better than those who are affected. We champion and actively co-create solutions with communities, governments, and institutions to ensure they are contextual, feasible to implement, and positioned for sustainable adoption.
04
We leverage the value of technology to maximise impact
We leverage technology as a tool to maximise impact, not as an end in itself. We deploy technology selectively, focusing on areas where it can demonstrably improve outcomes, reduce costs, and strengthen delivery at scale.
As new digital solutions — including artificial intelligence — continue to emerge, we engage proactively while remaining deliberate. We prioritise solutions that demonstrably improve lives and deploy them with careful attention to equity, ethics, privacy, and real-world feasibility.
05
We generate evidence for scale and design pathways to local ownership
We focus on generating credible evidence to inform decisions about scale. From the outset, we work with partners to design clear pathways for local ownership, enabling interventions to be sustainably adopted, managed, and scaled beyond our involvement.
Our evidence generation draws on scientific research, equity-informed cost-effectiveness analysis, impact modelling, and advocacy to governments — ensuring that scale decisions are grounded in data, not assumption.
Insights
Blog
Perspectives, updates, and thinking from our team.
Evidence & Method
What Does "Evidence-Based" Really Mean?
The phrase is used everywhere, but its meaning varies enormously. We unpack what it actually takes to put evidence at the centre of decision-making.
March 2026Read more →
Digital Health
Co-designing with Communities: Lessons from Kwara State
What we learned from working directly with pregnant women to design culturally grounded reminder tools — and why it changed our approach.
February 2026Read more →
Health Financing
The Real Cost of Declining Aid: Who Bears the Burden?
When international aid shrinks, statistics rarely capture the human cost. We explore what the evidence says about who is most at risk — and what can be done.
January 2026Read more →
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Research
Evidence
Our research findings, reports, and publications — open and accessible.
Digital Health
Maternal Anaemia in Nigeria: Phase I Findings
Sociocultural and behavioural drivers of ANC attendance and IFA adherence in Kwara State. Co-design of a culturally grounded reminder system.
