This will provide crucial knowledge to help scale gender lens investing in emerging markets to deliver on gender equality.
— Carolina Robino, International Development Research Centre
Small and medium-sized enterprises (SMEs) are vital engines of growth and employment, particularly in low- and middle-income countries (LMICs). Research has shown that gender-inclusive practices can enhance both financial and social outcomes for these businesses.
WDI, in collaboration with DAI and MarketShare Associates (MSA) through USAID’s Feed the Future Market Systems and Partnerships (MSP) Activity, conducted a series of case studies highlighting how SMEs can achieve “profit with purpose” through women-inclusive business models and operations. WDI’s key role on this project was to calculate the women-inclusive return on investment which included working closely with companies to collect and collate data.
This collection of resources answers the call of the Women-Inclusive Return on Investment Investment (WI-ROI) framework to build the evidence base of ROIs from SMEs in LMICs. The case studies also provide detailed information on how the ROI was calculated to help inform those interested in calculating their own WI-ROI. The learning note and synthesis report offer guidance on selecting and vetting companies, measuring the WI-ROI, and scaling women-inclusive strategies.
These resources aim to equip SMEs with the knowledge and tools needed to implement women-inclusive practices, measure their impact and WI-ROI, and ultimately drive business growth while contributing to gender equality. The team also held a webinar in April 2024 introducing these resources and answering audience questions on the WI-ROI.
We’d love to hear your feedback or answer any questions about these resources; please contact us at WDI-PerformanceMeasurement@umich.edu
WDI collaborated with the CCA Market Strengthening Program to generate learnings from projects supported by Irish Aid. This work entailed collecting and analyzing quantitative and qualitative data from projects in CCA’s Venture Catalyst Program and User Insights Lab. The Energy team worked with the PMI team to synthesize findings across projects based on key learning questions.
WDI is supporting the learning objectives of the Clean Cooking Alliance Market Strengthening Program by developing innovative methods to measure the effectiveness of market strengthening interventions. We are providing programmatic and data support, informing programmatic adaptations and pivots, and contributing to knowledge products targeting clean cooking enterprises, funders, policymakers and other stakeholders.
Note: Please watch the recording of the talk below.
Traditional surveys and questionnaires can be imprecise methods for understanding the needs and motivations of low-income and vulnerable populations. In a Feb. 17 virtual discussion, acclaimed author and entrepreneur Daryl Collins will explore how technology can help researchers, nonprofits and businesses engage and serve these communities around the world.
During the talk, Collins will share examples of how her company, Decodis, is using technology to collect and analyze qualitative data in a more scalable and lower-cost manner. Collins will share examples of collecting data using WhatsApp audio responses to understand changes in gender norms and assessing Google Play reviews of digital lending apps in India. In both examples, Collins will share how she and her team used Natural Language Processing (NLP) – a common market tool – to detect key topics and phrases to unpack the meaning of the responses. She’ll also share how she and her team analyzed speech signals (such as pitch, duration of responses and voice modulation) in the audio files to determine whether the respondent was engaged in their responses, when the respondent was unsure, and when the respondent gave them a “canned response” — i.e., telling the researchers what he/she thought the researchers wanted to hear.
The William Davidson Institute and the University of Michigan’s Poverty Solutions are co-sponsoring the talk, which begins at 5 p.m. is free and open to the public.
Daryl Collins
As a pioneer working at the intersection of finance and human vulnerability, Collins has built a broad portfolio of work with financial service providers, foundations, bilateral donors and governments. Collins’ work is grounded in a deep understanding of the financial lives of individuals. She is the author of the ground-breaking “Portfolios of the Poor” and creator of the Financial Diaries, a research tool used in over 10 countries, including South Africa, Kenya, Mozambique and Tanzania.
People living at or near poverty levels are less likely to speak their minds when responding to surveys and other efforts to collect data. This hesitancy is understandable, but it also creates a real challenge for researchers, enterprises and policymakers to better understand their needs, said Heather Esper, Director of WDI’s Performance Measurement & Improvement group.
“Daryl Collins is truly a pioneer in collecting and analyzing data to better understand the lives of low-income and vulnerable individuals at scale,” Esper said. “The qualitative methods she uses shed more light on what individuals are saying by accounting for how they say it.”
Collins recently established Decodis with a team of linguists and Natural Language Processing data scientists. Decodis seeks to advance scale and robustness in qualitative research techniques by providing tech-led consumer research methods that are insightful, scalable and low cost. The Decodis team is currently working on a range of projects across a breadth of countries, languages and sectors to explore new ways of both collecting and analyzing open-end response data.
Collins holds bachelor’s and master’s degrees in economics from the London School of Economics and a Ph.D. from New York University. She spent the last decade as Managing Director and CEO of BFA, a niche financial inclusion consulting practice with offices in Boston, New York, Nairobi, Accra, New Delhi and Medellin.
A worker with Chakipi Acceso Peru. Image courtesy of Chakipi.
For over 10 years, the Performance Measurement and Improvement (PMI) team at the William Davidson Institute at the University of Michigan has been using robust monitoring and evaluation approaches to measure results and generate value for businesses and their stakeholders.
Whether we are working with the largest network of micro-distributors in Latin America or a multi-national business in the apparel industry, our goal is to meaningfully engage our partners in the measurement and learning process. We want to make data collection valuable for participants and data findings actionable for decision-makers at all levels of a business, organization or program.
We believe such work should be shared and include practical strategies for applying research to improve performance and generate social impact. That’s why we’ve teamed up with MIT D-Lab to write a Lean Research case study, “Positive Change Through Actionable Metrics.” Lean Research is an approach to improve the practice of data collection involving people and communities in development and humanitarian contexts. (For more information on foundations of the Lean Research approach, check out this three-part blog series on NextBillion.net.
As defined by MIT D-Lab, Lean Research is driven by four principles of good research practice:
Our team’s case study covers how we followed the Lean Research approach and applied each of the four principles to our work with three separate social enterprises. Each of these businesses wanted to strengthen their ability to collect accurate data and lead their own evaluation efforts. As a result of the work, leadership from the three enterprises gained a clearer understanding of how to measure changes in the well-being of the low-income women they work with. They also learned the importance of using both business and social indicators to improve operations.
“Thanks to this process, we were able to review the way we collect data, and create a data collection manual and survey templates for each business model [we have],” said a pilot participant from Chakipi Acceso Peru, one of the businesses in our research.
So far, MIT D-Lab has produced three such cases, which you can find here. Each case describes an example of Lean Research and discusses its results and implications for development work globally. A revised version of the Lean Research Field Guide is expected to be released soon (WDI was a contributor to that work as well!)
We plan to create more cases and practical examples of how the Lean Research framework can be applied. We’re also proud to be able to contribute to what is a robust and growing community of evaluations practitioners. Indeed, we’re always looking to work with businesses that are putting Lean Research at the forefront of their measurement goals.
Want to learn more about the work mentioned in the WDI Lean Research case study? Check out the project description on our website or read the full WDI Impact Report: Positive Change Through Actionable Metrics.
Rebecca Baylor is an Evaluation Consultant with the WDI Performance Measurement and Improvement team.