Straightlining, zig-zag and staircase patterning, extreme and midpoint styling, reverse-item contradictions.
India-based research agency • worldwide execution • automated quality
Research operations, automated where it counts — judged by people.
Market Intelligence Unit runs survey programming, multi-mode recruitment, data validation and analytics for agencies, brands and academic teams worldwide. In 2026 the delivery model is built on our own tooling: ResClean scores every respondent on six quality dimensions in seconds, scripted QA exercises every routing path before launch, and AI-assisted review triages open ends — while every consequential decision stays human, documented and auditable.
24fraud & quality checks per respondent
6+1sub-scores rolled into one Data Quality Score
0files uploaded — cleaning runs in your browser
Qualtrics, Forsta / Decipher, Confirmit, Alchemer, SurveyMonkey
Online, CATI, CAPI, CLT and qualitative recruitment
SPSS, R, Python, Excel, SAS
SPSS .sav read natively
One delivery teamProgramming, fieldwork, cleaning, analytics and reporting under one owner.
Global, multi-mode reachOnline, CATI, CAPI, central venue and qualitative recruitment.
Advanced methodsMaxDiff, conjoint, CBC, A/B testing and complex routing.
Proprietary quality engineResClean scores every interview and exports the evidence behind each exclusion.
Built in-house · free to try
ResClean — the respondent quality engine behind every MIU dataset.
Upload a raw Decipher, Qualtrics, Confirmit or SurveyMonkey export. ResClean reads the value-and-label structure, auto-detects every question type, runs 24 checks and returns a Data Quality Score per interview with the evidence attached. It runs entirely inside your browser, so the file never reaches a server.
Interview pace against the sample median plus per-question, per-open-end and per-page floors.
Gibberish, AI-written prose, low-effort filler, off-topic answers and verbatims copied between respondents.
Batch entry, duplicate IDs and answer vectors, repeat IPs, subnet clusters, click-farm device signatures.
How much of the questionnaire the respondent actually answered.
Pass rate on the trap and instructed-response items you designate.
One auditable number per interview. You set the weights and the Keep / Review / Remove cut-offs — the engine never removes anything silently.
- Reads what other tools can't. A native SPSS
.savreader — variable labels, value labels, measure levels, long strings, every compression mode — plus Qualtrics three-row and Decipher two-row header exports. - Auto-detects the questionnaire.
Q5r1,Q5_1,Q5[1]andQ5r2c3all collapse to one question, classified as grid, multi, single, rank, numeric or open end with a confidence score you can override. - Explains every exclusion. Flags, sub-scores, reason text and a printable quality report — so a client or ethics committee can audit the decision, not just accept it.
- Learns your tracker. Save the thresholds, question map, trap items and reverse-keyed items as a profile, then apply it to the next wave in one click.
2026 delivery model
Where we automate — and where a human still decides.
Automation earns its place when it is faster and more consistent than a person. Judgement stays with the analyst. Both halves are written into the deliverable so you can see which is which.
Questionnaire QA
Scripted bots walk every routing path, quota cell and termination point before soft launch, then diff the collected data against the spec.
Respondent scoring
ResClean scores all six dimensions for every interview the moment the file lands — including waves of 100,000+ records.
Open-end triage
Gibberish, AI-written prose, duplication and off-topic answers are surfaced and ranked; codeframe drafts are suggested from the verbatims.
Synthesis support
Faster summarisation and hypothesis exploration with the source records always one click away for verification.
Exclusions
No record leaves a dataset on a machine's word alone. Analysts review flagged clusters, apply the client-agreed rules and sign the cleaning log.
Interpretation
Method choice, significance calls, story and recommendation stay with researchers who have run the study end to end.
Our position on AI: we use it for speed and pattern recognition, disclose where it was used, and never let it make an untraceable exclusion. No tool — ours included — can guarantee zero fraud, so the report always states what was checked and what remains uncertain.
Built for every research buyer
Choose the path that matches your role.
Whether you are commissioning commercial research, supporting an agency client or learning research methods, MIU provides a clear route from question to delivery.
01
Research agencies
White-label and overflow delivery for programming, fieldwork, quality control, analytics and reporting.
Explore agency support →02Companies and brands
Product launches, concept tests, customer evidence, brand tracking and market opportunity research.
Plan commercial research →03Professors and faculty
Methodology, instrument design, ethical recruitment, analysis, publication support and research training.
Review faculty support →04Students and researchers
Practical help with questionnaires, sampling, SPSS, R, interpretation and presentation of findings.
Explore researcher support →05Global project teams
Multi-country feasibility, supplier coordination, quota monitoring and one central delivery workflow.
Check global execution →
Research impact lab
See how evidence changes the next decision.
Select a research goal to explore how MIU turns a question into validated data, insight and action.
Companies and brands
Reduce uncertainty before a product launch.
Test propositions, features, pricing and purchase intent with the right audience before committing more budget.
Concept preferenceIdentify the strongest idea
Purchase intentMeasure demand signals
Segment differencesFind the right audience
01Define decisionWhat must the evidence clarify?
02Design researchMethod, audience, sample and measures
03Collect & validateFieldwork plus transparent quality checks
04Analyse patternsCompare, model and explain the evidence
05Act with confidenceTurn findings into a practical next move
End-to-end services
From a research question to a defensible answer.
Engage MIU for one stage or the full lifecycle. Each workstream is planned with clear inputs, outputs, quality checkpoints and communication ownership.
Survey Programming
Custom online surveys, complex routing, quotas, multilingual deployment and advanced experimental designs.
Explore service →Global Data Collection
Partner-supported recruitment across consumer, B2B, healthcare, academic and hard-to-reach audiences.
Explore service →Validation & Data Cleaning
Duplicate, speed, pattern, source, open-end and AI-assisted anomaly review before analysis.
Explore service →Automated Data Cleaning
ResClean scores every respondent on six dimensions, flags fraud clusters and exports an auditable cleaning log.
Explore service →Analysis & Reporting
Crosstabs, statistical testing, coding, dashboards, charting and presentation-ready reports.
Explore service →Qualitative & Quantitative
IDIs, focus groups, trackers, concept tests, segmentation, B2B and B2C research support.
Understand the methods →Academic & Training
Ethical methodology support and practical workshops for students, researchers and teams.
Explore academic support →
Programming platforms
Complex surveys, built on the tools your team already uses.
Platform choice is based on client access, survey complexity, data requirements and deployment environment.
QualtricsForsta Surveys / DecipherForsta / ConfirmitSurveyMonkeyAlchemer / SurveyGizmoSurvey2Go
Analytics stack
Tools selected around the decision, not the trend.
- SPSS for tabulation and statistical workflows.
- R for reproducible analysis, modelling and visualisation.
- Excel for client-ready outputs and operational tracking.
- SAS for applicable enterprise analytical requirements.
- AI-assisted workflows for open text, anomaly review and faster synthesis — with human validation.
Execution model
Clear planning before work begins.
Every project starts with objective, audience, method, feasibility, timeline, quality rules and deliverables — then moves through visible checkpoints.
01
Understand
Objective, audience, markets, questionnaire, method and decision need.
02
Design
Scope, platform, sample plan, quotas, validation rules and analysis approach.
03
Execute
Programming, launch, partner coordination and fieldwork monitoring.
04
Validate
Data cleaning, source checks, suspicious-pattern review and reconciliation.
05
Explain
Analysis, visualisation, report writing, recommendations and handover.
AI & fraud signals
AI helps us review faster. It does not replace research judgement.
MIU combines rule-based checks, source metadata, response patterns and AI-assisted review — all executed by our own ResClean engine — to identify low-quality or suspicious records. No system can guarantee zero fraud, so every decision stays traceable, reversible and reviewable.
Research learning
Buy execution — or learn how to do it better.
MIU conducts structured sessions on qualitative and quantitative research, B2B/B2C design, survey programming, SPSS, R, Excel, fraud controls, MaxDiff, conjoint and data storytelling.
See before you buy
Interactive demos, synthetic portfolio files and transparent pricing.
Explore advanced questions, review anonymised demonstration outputs and build a directional tax-inclusive estimate before contacting the team.
Future of research operations
How better data creates better research decisions.
MIU is positioned as a research agency with deep expertise across programming, fieldwork, validation, analytics and training. The operating model combines human expertise, transparent workflows and AI-assisted speed so clients can move from uncertainty to decision with more confidence.
For companies
Launch products, test concepts, validate claims and track brand health with structured evidence.
For agencies
Use MIU as an extension team for overflow execution, specialist methods and multi-market delivery.
For professors, students and researchers
Learn methodology, run ethical studies, improve analysis and turn data into clear communication.
Research impact animation
Question → data → validation → insight → action
Every project should show how information becomes a practical decision asset.
01Question
Define what the client needs to know, compare or improve.
02Collect
Reach the right audience with the right method and quality controls.
03Validate
Detect low-quality records, review anomalies and clean the dataset.
04Explain
Use tables, charts, storytelling and AI-assisted synthesis with human review.
05Decide
Turn evidence into launch, growth, strategy, academic or policy decisions.
The next era of research
Human expertise, AI-assisted speed and evidence people can trust.
MIU is building research workflows for a future where data volume increases, fraud patterns evolve and decision-makers expect faster, more transparent answers.
Adaptive survey experiences
More responsive questionnaires, intelligent routing and better respondent experiences across devices and languages.
Explainable quality signals
AI-assisted review that surfaces risk while keeping human judgement, reason codes and client visibility.
Decision-ready analytics
Faster synthesis, reproducible analysis and reporting that connects findings directly to business or academic questions.
Start a project
Send your briefShare the business question. MIU will design the execution plan.
Send the target audience, markets, sample size, incidence, survey length, methodology, timeline and expected outputs.