Our Social Research
Methodology — built for
rigour and real impact
A great research project is only as good as its methodology. Consultivo's social research methodology is a structured, eight-step research process refined over 14+ years of socio economic survey projects, ESG research and analytics engagements and community studies — across India and 19 countries globally.
research steps
phases
approved
methodology
Three phases. Eight steps.
One rigorous research process.
Consultivo's social research methodology is organised into three sequential phases. Each phase builds on the previous one — so the quality of your final research output is determined by how well each earlier stage is executed.
Phase 1 — Research Design
Everything that happens before data collection begins. This is the most critical phase — a poorly designed study cannot be fixed at analysis. We invest significant time here to ensure the entire project rests on sound foundations.
- Step 1: Research objectives and scope
- Step 2: Stakeholder identification and mapping
- Step 3: Methodology and method selection
- Step 4: Sampling design
- Step 5: Instrument development and validation
Phase 2 — Data Collection
Primary data gathered from the field or digitally — using the instruments developed in Phase 1. Simultaneous secondary research provides the contextual backdrop. Real-time quality control runs throughout.
- Step 6: Primary data collection (quantitative)
- Step 6: Primary data collection (qualitative)
- Step 6: Secondary / desktop research
- Continuous: Field quality monitoring and validation
Phase 3 — Analysis & Output
Raw data is cleaned, coded and analysed — quantitatively through statistical tools and qualitatively through thematic frameworks. Findings are interpreted against benchmarks, and outputs are crafted for their intended audience.
- Step 7: Statistical analysis and interpretation
- Step 8: Research output, recommendations and reporting
- Peer review and quality sign-off
- Presentation and knowledge transfer
What we do — step by step
Each step in our social research methodology has a defined purpose, set of activities and quality checkpoint. Nothing is skipped, and nothing moves forward until the previous step is signed off.
Research Objectives & Scope Definition
Every research project begins with a clear articulation of what needs to be known and why. We work with the client to define specific research questions, set the geographic and demographic scope, agree on success criteria and establish the timeline. This step directly shapes every subsequent decision — method selection, sampling size, indicator choice and report format.
Key activities
Client briefing, literature review, problem statement, research question formulation, scope boundary setting, project charter.
Quality checkpoint
Research questions reviewed for clarity, measurability and alignment with client objectives before proceeding.
Stakeholder Identification & Mapping
Good research is built around an accurate picture of who is affected, who has influence and whose perspective must be captured. We systematically identify and categorise all relevant stakeholder groups — project-affected communities, implementing organisations, government bodies, civil society and investors — and map their relationships, concerns and influence. This informs both the data collection design and the engagement strategy. This step is especially critical in socio economic surveys and community research.
Stakeholder categories
Primary affected groups, secondary stakeholders, implementing partners, regulatory bodies, community leaders, vulnerable groups.
Mapping tools
Power-interest matrix, influence-impact grid, stakeholder register, community profiling and social mapping exercises.
Methodology Selection & Research Design
We select the most appropriate research approach for the project — quantitative, qualitative or a mixed-methods design. This decision is driven by the research questions, the population being studied, the data type required and the reporting standards the project must align with. Consultivo always recommends a mixed-methods approach for socio-economic and ESG research, as it produces richer and more reliable findings than either approach alone. Our social survey methodology draws from social science, development evaluation and statistical research traditions.
Quantitative design
Structured surveys, household census, scaled questionnaires, digital CAPI data collection. Suited to measuring prevalence, trends and statistical relationships.
Qualitative design
In-depth interviews, FGDs, PRA methods, observations. Suited to exploring perceptions, behaviours, lived experiences and causal explanations.
Sampling Design & Sample Size Determination
Sampling determines whose data is collected and how many people are surveyed. A poorly designed sample produces results that cannot be generalised — making the entire study unreliable. We design statistically appropriate sampling strategies for every project, balancing scientific rigour with practical field constraints. For socioeconomic surveys covering large communities or multiple villages, this step is particularly detailed.
Probability methods
Simple random, systematic, stratified, cluster and multi-stage sampling — for studies requiring statistical representativeness and generalisability.
Purposive methods
Purposive, snowball, quota and convenience sampling — for qualitative studies where depth of insight matters more than statistical precision.
Research Instrument Development & Validation
The questionnaire, interview guide or observation checklist is the primary interface between the research team and the data. A poorly worded question or a missing variable can never be recovered after fieldwork ends. Consultivo invests heavily in instrument design — every question is purposefully linked to a research objective, reviewed for bias, translated for local language contexts where needed, and piloted before full deployment.
Instrument types
Structured questionnaires (household, individual, institutional), semi-structured interview guides, FGD protocols, observation checklists, PRA tools, online survey forms.
Validation process
SME review, face validity test, pilot survey (5–10% of sample), reliability check (Cronbach's alpha for scaled instruments), revision before full deployment.
Data Collection — Primary & Secondary Research
With the instruments validated and field teams trained, data collection begins. Consultivo manages both primary field research and secondary desktop research simultaneously — so that quantitative survey data is always contextualised against published evidence. Our social research methods combine multiple data streams to produce findings that are both statistically robust and contextually grounded. We are one of the few survey agencies in India that integrates both streams within a single project management structure.
Primary methods used
Household surveys, KIIs, FGDs, observation, CAPI/digital tools, online surveys, participatory appraisals, community consultations.
Secondary sources used
Census data, government reports, district statistics, published academic research, NGO reports, news archives and policy documents.
Statistical Analysis & Qualitative Interpretation
Raw data — once cleaned and validated — is analysed in parallel streams. Quantitative data is processed through statistical analysis to identify distributions, patterns, correlations and significant differences. Qualitative data is coded thematically to identify recurrent themes, contrasts and explanatory narratives. The two streams are then triangulated — each informing and enriching the other — to produce integrated findings that are both measurable and meaningful. This is the core of our ESG analytics capability.
Quantitative analysis tools
Descriptive statistics, frequency distributions, cross-tabulations, chi-square tests, regression analysis, index construction, benchmarking — powered by ESGSlate.
Qualitative analysis tools
Thematic coding, content analysis, narrative analysis, comparative case analysis, matrix displays — reviewed by subject matter experts.
Research Output, Recommendations & Reporting
The final step translates analysis into decision-ready outputs. Consultivo research reports are not data dumps — they are crafted communications. Every finding is interpreted in context, every recommendation is grounded in evidence and every output is formatted for its intended audience — whether that is a DFI's environmental and social team, a corporate board, a government agency or a public stakeholder group. Our approach to sustainability research reporting emphasises clarity, visual communication and actionability.
Report components
Executive summary, methodology narrative, findings by theme, statistical tables, infographics, conclusions, recommendations and action plan.
Visual outputs
Management dashboards, data visualisations, charts, maps, infographics and presentation decks — all produced via ESGSlate and Consultivo's Impact Communication Studio.
Quantitative vs qualitative
social research methods
Understanding the difference between research methodology qualitative and quantitative approaches helps you choose the right research design for your project. Consultivo recommends and most commonly uses a mixed-methods approach — combining both.
Choosing the right sampling
approach for your project
Sampling is the backbone of any credible research study. The method chosen directly affects whether findings can be generalised, compared over time and accepted by development financiers and investors.
Simple Random Sampling
Every member of the population has an equal chance of being selected. Produces the most unbiased, representative sample — but requires a complete sampling frame (list of the population).
Systematic Sampling
Every nth member of the list is selected after a random start. Efficient and practical for large household surveys — produces results comparable to simple random sampling.
Stratified Sampling
The population is divided into sub-groups (strata) — such as gender, caste, income level — and samples are drawn from each. Ensures that minority groups are adequately represented.
Cluster Sampling
Geographic units (villages, wards, districts) are randomly selected first; then all households or a random subset within each cluster are surveyed. Cost-effective for large, dispersed populations.
Purposive Sampling
Participants are deliberately selected based on specific characteristics relevant to the research — not random selection. Used exclusively for qualitative research where information richness matters.
Snowball Sampling
Each participant refers the researcher to the next — useful for reaching hidden, hard-to-access or marginalised populations. Used in sensitive qualitative studies.
Quality control is built in —
not bolted on
Poor data quality is the most common reason research projects produce findings that cannot be trusted. Consultivo builds quality control into every stage — not as a final check, but as a continuous process embedded in the research workflow.
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Instrument piloting before deployment
Every questionnaire and interview guide is tested with a small pilot sample (5–10%) before full fieldwork begins. Issues of clarity, length and translation are resolved at this stage.
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Real-time field monitoring via ESGSlate
Field data submitted daily is monitored in real time through the ESGSlate platform — flagging incomplete responses, out-of-range values, duplicate entries and GPS anomalies before they accumulate.
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Back-check and field verification
A random 10% back-check of completed interviews is conducted by supervisors — re-contacting respondents to verify responses and check data integrity.
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Data cleaning and validation protocol
Systematic cleaning using defined decision rules — handling missing values, outlier treatment, variable recoding and consistency checks — before any analysis begins.
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Peer review and SME sign-off
All analysis and interpretation is reviewed by a senior subject matter expert who was not part of the data collection team — providing independent validation of findings before reporting.
ESGSlate — powering our data quality system
ESGSlate is Consultivo's proprietary AI-enabled software platform. It integrates data management, statistical analysis, quality monitoring and visual reporting into a single system — replacing manual spreadsheet-based processes that introduce errors.
Automated data validation
Real-time checks for completeness, range, logic and consistency as data is submitted from the field.
Statistical analysis engine
Built-in tools for descriptive statistics, cross-tabulations, significance testing and index construction.
Dynamic dashboards
Live management dashboards that update as data comes in — enabling mid-survey monitoring and early identification of gaps.
Audit trail and documentation
Complete, time-stamped audit trail of all data collection, QC actions and analysis steps — defensible to any external reviewer.
Visualisation and report generation
Charts, infographics, maps and visual dashboards generated directly from validated data — no manual transfer errors.
Our methodology is aligned to
internationally recognised standards
Consultivo's research methodology — from research design through to reporting — is built in alignment with the frameworks that matter most to development financiers, regulators, investors and international organisations. This ensures your research outputs are accepted, trusted and comparable across contexts.
IFC Performance Standards — PS1
The primary international standard governing environmental and social assessment, community engagement and baseline survey methodology for development finance projects. Our research procedure is designed to meet PS1 requirements directly.
UNEG Norms & Standards for Evaluation
The United Nations Evaluation Group norms covering evaluation utility, credibility, independence and ethics — directly shaping how we design end-line evaluations and impact assessments for development programmes.
UNDP Evaluation Policy & Results Framework
UNDP's results-based management and monitoring and evaluation (M&E) guidelines — informing our indicator framework design, results chain methodology and baseline-midterm-endline survey sequencing.
ILO Statistical Standards & Decent Work Indicators
ILO's guidelines for measuring employment, labour conditions, occupational safety and income — providing the technical definitions and indicator frameworks for the labour and livelihoods components of socioeconomic surveys.
GRI Standards — Material Topics & 400 Series
Global Reporting Initiative standards for materiality assessment, stakeholder engagement and social indicator disclosure — informing the thematic structure of our ESG and sustainability research data collection instruments.
BRSR Framework & India CSR Rules
SEBI's Business Responsibility and Sustainability Reporting requirements and MCA's CSR rules under the Companies Act 2013 — governing indicator selection and reporting format for India-based corporate research.
ISO 20252 — Market, Opinion & Social Research
The international quality standard for market, opinion and social research — covering research process requirements, subcontracting, data security, reporting standards and professional ethics.
OECD DAC Evaluation Criteria
The OECD Development Assistance Committee's five evaluation criteria — Relevance, Effectiveness, Efficiency, Impact and Sustainability — used as the analytical framework for development project evaluations.
What a Consultivo research report
looks like — and why it matters
The final research output is the primary value delivery to the client. Consultivo produces three types of research output — each calibrated to its audience and purpose. All use ESGSlate for data visualisation and the Consultivo Impact Communication Studio for presentation design.
Full Technical Report
The comprehensive research document — methodology, findings, analysis and recommendations — suitable for DFI submission, government reporting and public disclosure.
- Complete methodology narrative
- Statistical analysis tables
- Qualitative findings by theme
- Conclusions and evidence-based recommendations
- Annexures: instruments, field logs, data tables
Management Dashboard
A visual, digestible summary of key findings — designed for senior leadership, board presentations and investor reporting. Built on ESGSlate.
- Infographic summary of key indicators
- Before/after comparison charts
- Risk and opportunity heat map
- Benchmarking table
- Priority action matrix
Presentation & Knowledge Transfer
A facilitated presentation of research findings to the client team — enabling discussion, validation of interpretation and translation into organisational action.
- Findings presentation deck
- Interactive Q&A session
- Stakeholder workshop facilitation (optional)
- Action planning session support
- Raw data set handover
14+
Years of methodology refinement across 19 countries
IFC
World Bank Group approved — accepted by development financiers
AI
ESGSlate platform — automated QC at every data stage
IP
Proprietary methodology — not a generic survey template
Questions about our
research methodology
Answers to common questions from clients, project developers and evaluation professionals about how Consultivo's research process works.
Ready to apply this methodology
to your project?
Tell us about your research requirement. Our team will come back within one working day with an initial methodology note and indicative project outline — at no cost.
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