Understanding Product Usage Among Mobile and Technical Developers Across Global Markets
RONIN delivered a large-scale international study exploring how developers use products across mobile, web, cloud, and machine learning environments. The research was designed to capture feedback from screened and verified technical professionals and decision-makers using a wide range of platforms and tools, giving the client a structured view of product usage across key global developer markets.
- 4,200 Interviews
- 9 Markets
- 15-minute Online interviews
Objectives
- Understand product usage across mobile, web, cloud, and machine learning environments
- Gather insight from screened and verified developers across multiple technical disciplines
- Compare usage across key international developer markets
- Capture feedback across a wide range of targeted platforms and products
Methodology
This was a quantitative online study conducted through a survey hosted and scripted by RONIN for both mobile and desktop completion. Recruitment combined company-targeted lists, digital campaigns, organic outreach, and desk research across multiple sources. RONIN also delivered SPSS tables, data files, open-ended coding, and translation of materials in German, Japanese, Mandarin, Korean, Brazilian Portuguese, and Indonesian Bahasa.
Sample & Coverage
-
4,200
Interviews
-
9
Markets
-
25%
Qualification incidence
-
1,000 each
Mobile, web, cloud, and machine learning
Challenge
The study required reaching a highly specific technical audience across multiple product ecosystems, markets, and specialisms. Respondents needed to meet strict experience and usage criteria, including professionals with at least two years of experience and technical practitioners coding 11 or more hours per week. Quotas also had to be maintained for specific products and categories, adding complexity to recruitment and fieldwork.
How RONIN approached it
RONIN used a blended recruitment model combining targeted digital outreach through platforms such as LinkedIn, Reddit, GitHub, and Stack Overflow, supported by organic outreach, desk research, and company-level database sourcing. This approach helped maximise reach across company sizes and markets while supporting quotas across mobile, web, cloud, and machine learning product users. Additional targeting was applied across more than 20 platforms and products, including tools such as Firebase, Angular, Kubeflow, TensorFlow, and Jetpack Compose.
Results
The study provided the client with a structured international view of developer product usage across a broad technical landscape. By combining targeted recruitment with robust screening and multi-market delivery, RONIN delivered a reliable dataset covering key developer audiences, platforms, and product categories across global markets.
Need specialist international B2B audience recruitment?
Talk to RONIN about your next multi-market technology study.
Get in touch