Discover → Design → Collect → Analyze → Interpret → Implement → Measure
A proven end-to-end framework that transforms business questions into reliable intelligence and strategic action.
At Robas Research, methodology is not an afterthought — it is the strategic backbone of every engagement. Our approach is built on a fundamental commitment: design the right study, collect the right data, and deliver insights that genuinely change how our clients think and act. We deploy a comprehensive toolkit of quantitative, qualitative, and advanced analytical methodologies — always selecting the approach best matched to the research question, the target audience, and the decision at stake.
Online surveys are the workhorses of modern quantitative research — enabling fast, cost-effective data collection from large, geographically dispersed samples. At Robas Research, we design and program online surveys on platforms including Confirmit, Decipher, and SurveyMonkey. Every survey is designed with the respondent experience in mind — using adaptive question logic, mobile-optimized layouts, and skip patterns that reduce respondent fatigue while maximizing data quality. We access respondents through our proprietary online panel and trusted third-party panel partners, with rigorous quality controls including trap questions, response time monitoring, and duplicate detection.
CATI remains the gold standard for reaching B2B professional audiences, hard-to-access consumer segments, and geographies with low internet penetration. Our CATI operations are supported by trained interviewers and purpose-built telephonic scripting infrastructure. CATI is particularly effective for B2B decision-maker surveys, where cold-calling and scheduled interview protocols are required to access procurement managers, plant heads, and senior executives. We manage quota tracking, call disposition, and real-time data quality monitoring throughout the CATI fieldwork phase.
CAPI uses tablet or device-based survey tools deployed by trained field interviewers to collect data face-to-face. It combines the data quality advantages of direct interviewer-administered surveys with the efficiency of digital data capture. CAPI is particularly valuable for rural and semi-urban fieldwork, retail and outlet audits, and studies where showing visual stimuli—product images, packaging, and concept cards—is a research requirement. Our CAPI field teams are trained and supervised, with GPS-verified interview locations and real-time data upload to central servers.
Face-to-face interviewing remains indispensable for reaching audiences with limited digital or telephonic access, for studies requiring physical product interaction, and for contexts where the interviewer relationship is necessary to elicit candid responses. Robas Research has established field infrastructure across 150+ towns and cities across India, with the capability to conduct face-to-face surveys in Tier 1, Tier 2, and Tier 3 geographies in local languages. Our interviewers undergo rigorous training on question administration, probing techniques, and quality compliance protocols.
Our proprietary online panel provides access to a diverse, continuously maintained global network of B2C consumers, B2B professionals, and healthcare respondents. Panel research enables rapid deployment, reliable sampling, and cost-effective data collection for a wide range of study types. Our consumer panel covers lifestyle segments, income groups, geographic profiles, and category-specific user groups. Our B2B panel includes verified professionals across industry sectors, job functions, and organizational sizes. Our MedicusView healthcare panel provides access to 300,000+ verified healthcare professionals and 2.5 million patients globally. All panelists are regularly profiled, validated, and monitored for engagement quality.
In-depth interviews are one-on-one conversations that explore individual attitudes, experiences, and decision-making processes in depth. At Robas Research, IDIs are conducted by experienced moderators trained in active listening, probing technique, and the ability to surface insights that go beyond surface-level responses. We conduct IDIs with C-suite executives, industry experts, KOLs, procurement managers, consumers, and channel partners — via face-to-face, telephone, or video platforms. IDIs are ideal for sensitive topics, complex B2B purchase journey mapping, and situations where peer influence in a group setting would compromise candor.
Focus group discussions leverage the power of group dynamics to explore shared attitudes, reactions, and social meanings around a topic, brand, or product. Our FGDs are moderated by experienced researchers with sector-specific expertise, using structured discussion guides that balance facilitation with open exploration. We conduct FGDs across geographies and respondent profiles — from urban consumer groups to rural farmer communities to professional peer groups. Online FGDs extend our qualitative reach to hard-to-access audiences without compromising the richness of group interaction.
Ethnographic research involves observing people in their natural environments — homes, workplaces, retail outlets, and usage contexts — to understand behavior as it actually occurs rather than as respondents recall or report it. Robas Research deploys ethnographic methodologies for in-home usage tests, workplace observation studies, shopper behavior research, and service environment audits. Ethnography is particularly powerful for identifying behavioral patterns, unspoken needs, and usage rituals that conventional survey or interview methods rarely capture.
Online research communities are extended, asynchronous qualitative platforms that allow researchers to engage with participants over days or weeks. They enable longitudinal exploration of brand relationships, product usage journeys, and evolving attitudes in ways that one-time FGDs cannot. Robas Research designs and manages private online communities for clients seeking deeper, more iterative qualitative intelligence — particularly in innovation research, customer co-creation, and continuous CX monitoring programs.
Expert interviews provide access to specialized knowledge from industry analysts, regulatory officials, academic researchers, and former industry executives who can offer perspectives unavailable from conventional respondent populations. We conduct structured and semi-structured expert interviews as part of market entry assessments, competitive intelligence programs, and industry research projects. Expert interviews add credibility, triangulation, and forward-looking perspective to research programs that rely primarily on consumer or organizational respondent data.
Segmentation analysis identifies distinct, actionable groups within a population based on their attitudes, behaviors, needs, or demographic characteristics. At Robas Research, we apply cluster analysis, latent class analysis, and factor analysis techniques to develop segmentation frameworks that are statistically robust and strategically relevant. Our segmentation deliverables include detailed segment profiles, sizing estimates, and strategic recommendations for targeting and positioning by segment.
Conjoint analysis quantifies the trade-offs consumers and B2B buyers make between product attributes — features, price, brand, service terms — to determine the combination of attributes that maximizes value perception and purchase likelihood. It is the gold standard methodology for product design, pricing optimization, and go-to-market strategy research. We deploy full-profile conjoint, choice-based conjoint (CBC), and adaptive conjoint analysis depending on the research design requirements.
Driver analysis identifies which factors most strongly influence a key outcome — such as overall satisfaction, brand preference, or purchase intent — enabling organizations to prioritize investment in the attributes that matter most to their customers. We use multiple regression, structural equation modelling, and relative importance analysis to develop driver hierarchies that directly inform product, service, and communication strategy.
We apply top-down and bottom-up market sizing methodologies — combining secondary data triangulation with primary field research — to produce defensible, well-sourced estimates of total addressable market, serviceable market, and obtainable market. Our market sizing deliverables include explicit source documentation, confidence interval discussion, and scenario-based sizing under different demand assumptions.
Our demand forecasting capability combines historical trend analysis with primary research on buyer intent, pipeline, and macroeconomic drivers to develop short, medium, and long-term demand projections. We use regression modelling, time series analysis, and scenario planning frameworks to produce forecasts that are both statistically grounded and contextually sensitive to industry-specific demand drivers.
Our analytics team applies a full suite of statistical modelling techniques — including regression analysis, structural equation modelling (SEM), MaxDiff, TURF analysis, and predictive modelling — using tools including SPSS, R, Python, and Power BI. Statistical modelling transforms survey data into strategic intelligence, revealing relationships between variables that descriptive analysis alone cannot surface.
Let’s discuss your research requirements and deliver actionable insights.
Let’s discuss your research requirements and deliver actionable insights.
