Design and Deploy Innovative Research Solutions to Reach Vulnerable, Informal, and Periphery Populations
We help development organisations to create and use evidence across the project lifecycle to accelerate transformative change in hard-to-reach communities. Our specialisations include:
Bridging data gaps to reveal insights from often-overlooked communities.
Unraveling the impact of gender on various facets of economic development.
Investigating challenges and opportunities to empower the next generation.
Digitalization and ICT Solutions
Assessing the transformative influence of technology on communities and economies.
Access to Justice
Researching pathways to enhance and democratize access to legal systems.
Evaluating strategies to combat corruption and foster transparency.
Impact-oriented research that unlocks new opportunities and solutions
Our experience with inclusive customer discovery, human-centred solution design, and stakeholder mapping across East Africa makes us experts in overcoming the traditional sampling challenges that prevent generating actionable research and evidence.
Problems we target, which prevent actionable research and evidence generation
Vulnerable, informal, and periphery populations often present challenges for researchers using traditional data collection techniques. For instance, individuals without access to the internet or smartphones may not be able to participate in online surveys; women may not be able to participate in in-person focus group discussions, when their time is consumed by domestic care duties; and the stakeholders of cross-border populations may be difficult to identify for researchers unable to work on both sides of the border.
Key Research Design Insight
Sauti’s approach to data collection is borrowed from our experience with human-centered solution design. We make it our first objective to understand the capacity and incentives of our target sample population to participate in our research. We then innovate data collection tools using mobile technologies that are inclusive, easy-to-use, and incentivise participants with access to information benefits that are designed to help them prosper in their communities.
Our approach enables us to overcome traditional data collection barriers and benefit from response rates that are far above the industry average.
“Hard-to-reach” populations are often poorly mapped as a distinct and counted group. Qualitative population estimates can be useful to understand general behavioural dynamics, but may vary significantly as a quantitative indicator.
An illustrative example relates to the ratio of formal to informal trade in East Africa: with estimates of informal trade varying between 0.2 and 20 times formal trade. These estimates become more problematic when they are used to guide or evaluate representative sample selection: Without knowing the total population size, it becomes extremely difficult to evaluate representative sample selections.
Key Research Design Insight
Sauti’s approach to sample representativeness is two-fold. First, we design our data collection tools with the inclusivity and reach necessary to ensure participation by the maximum possible participating sample. Second, we correlate the demographic features of samples with our enormous databank of data we’ve collected in the past, allowing us to make precise interpretations of how representative a client’s data collection is of the overall MSME population in East Africa.
The cost effectiveness of our data collection tools, and our human-centered design approaches, have meant that we can reach a number of participants orders of magnitude larger than comparative quantitative studies. For example, our analysis of informal cross-border traders patterns of resilience included samples of more than 20,000 participants.
Informal, rural, and poorer populations often occupy dynamic positions within regional value-chains. Farmers may become traders in the off-season, or engage in part-time work in services to supplement their income. Here, gender dynamics can determine dynamism within the value-chain too. The available incentives to participation in research can also influence how a participant chooses to identify themselves.
This dynamic switching of individual’s economic behaviour and often overlapping incentives can complicate the stratification of target samples, eventually threatening the validity of insights and utility of research recommendations.
Key Research Design Insight
Sauti’s treats sample identification and stratification as a distinct and significant part of the methodology design; which often requires action research to complete. Our local embeddedness in informal and rural communities throughout East Africa means that we have low-cost access to trusted networks across multiple value-chains, who we work with to accurately map and stratify populations.
By explicitly including stakeholder populations at the design stage, we can more fully understand their motivating incentives, their overlapping priorities, and ultimately how we can ensure accurate and inclusive research and actionable insights.
Tailored Research and Evidence Solutions
Our local embeddedness in the regional trade environment and our digital assets mean that we can provide development sector researchers with unique and actionable insights to making a positive impact in the region.
Agricultural Value Chain Analyses
- Map key stakeholders and explore the dynamics that impact women and youth participation.
- Validate evidence on agricultural value chains.
- Identify and prioritize trade corridors for maximum impact.
Trade Policy Assessment
- Assessments for opportunities and gaps in continental and regional trade-related policies and frameworks.
- Provide evidence-based recommendations for enhancement, reform, and implementation.
Non-tariff Barrier Identification and Solutions
- Assess the effectiveness of regional and continental platforms for reporting, monitoring and eliminating non-tariff barriers.
- Propose evidence-driven recommendations for trade system improvements.
Trade Partner and Network Mapping
- Map and profile continental and regional-level stakeholders, including business associations, councils, cross-border trade associations, women, and youth groups.
- Provide evidence-backed insights to enhance program implementation, localization, and engagement.
Monitoring, Impact Evaluations, and Learnings
- Identify baseline indicators and monitor programme implementation throughout project life-cycles
- Leverage quantitative and qualitative indicators for nuanced learnings.
How we work
We leverage rigorous methods and robust data collection tools to uncover new ways to support innovation.
Detailed scoping to understand objectives and tailor approaches
We apply our expertise in rigorous research and evaluation methods to help clients uncover better ways to use evidence. Our work can help:
- Understand which innovations work, why, where, and for whom.
- Design more inclusive and sustainable products/services for hard-to-reach communities.
Mobile data collection and analysis
We use mobile technologies to remotely collect real-time data (via SMS, USSD, and WhatsApp) with unprecedented precision and scale.
Drawing from practical experience as a leading innovator in East Africa, we also understand how to engage hard-to-reach populations to generate useful insights and analysis.
Actionable recommendations for innovators
We collaborate with project teams to ensure research deliverables are useful for innovation practitioners.
Whether your aims are to improve innovation design, engage stakeholders or create community buy-in within your organisation, we can help you to translate knowledge into practice.