Assessment study tracing impacts of social incubation at individual, organisational and societal levels.
Maharashtra, New Delhi, Telangana, Karnataka, Uttar Pradesh, Tamil Nadu
- At the individual level: leadership and management skills along with enhanced networks, were noted as most significant by entrepreneurs.
- At the organisation level: marketing, legal and human resource processes observed positive improvements.
- At the sectorial level: increase in scale of operations and quality of programs emerged as positive outcomes
Analytical impact assessment framework and study for Unltd India’s skilling portfolio organisations
UnLtd India partnered with J.P. Morgan to launch an initiative to find and support entrepreneurs focused on skills and employability. Entrepreneurs are supported with seed funding, personalised coaching, access to mentors and networks, technical input workshops, access to follow-on funding, leadership retreats and peer learning opportunities. For this specific partnership, UnLtd India sought to obtain useful data on their performance, identify important factors that aid or impede achievement of intended results, and assess outcomes of incubates after participation in the program in terms of institutional capacities, social impact and sustainability. 4th Wheel designed the study to understand multiple levels of impact created by UnLtd. India.
01. Online Survey
02. Field Visits and In-person interviews.
03. Comparative Review
The inputs (incubation support) provided were matched to estimated outputs and outcomes. Outcomes were organized under different heads: Individual, Organizational and Sectoral; to measure impact on entrepreneurs. The study followed a non-experimental design of a pre-post comparison of self- reported scores of entrepreneurs on the three levels of impact outcomes. Impact variables were cross –tabulated with core indicators such as gender, age, size of company, education and work experience of entrepreneurs to understand possible correlations between them. Paired sample two tailed t-test was used to check if the difference in the scores were statistically significant. Qualitative data was recorded, protocolled and transcribed in a systematic way and qualitative data analysis software MaxQDA was used for coding the qualitative data.