Full Capabilities
Every capability the firm offers, grouped by area, with a short description of each. Most engagements combine several. Anything on this list can be provided as part of a complete project or as a single piece of work within a larger program.
Advanced Analytics
Statistical and machine learning methods for survey and customer data. Engagements cover experimental design, estimation, and delivery of results as reports, data files, or working tools.
Conjoint and discrete choice
Experimental design, estimation, and simulation for choice-based conjoint and discrete choice studies. Designs cover standard, alternative-specific, and constrained attribute structures. Estimation uses hierarchical Bayes and latent class models.
MaxDiff
Best-worst scaling for prioritizing features, messages, claims, or attributes. Covers design, fielding, estimation of individual-level scores, and reporting.
Key driver analysis
Regression and related methods that identify which attributes have the greatest effect on satisfaction, loyalty, purchase intent, or other outcomes. The approach is matched to the data, including relative importance methods when predictors are correlated.
Factor analysis
Principal components and factor analysis for reducing large attribute sets and identifying the underlying dimensions in attitudinal data.
Cluster analysis and segmentation
Segmentation using k-means, hierarchical, and latent class methods. Deliverables include segment profiles, sizing, and typing tools for classifying new respondents or customer records.
Classification tools and typing algorithms
Short-form classifiers that assign new respondents or records to an existing segmentation. Delivered as scoring specifications, spreadsheets, or code for use in survey platforms and client systems.
Market simulators and decision tools
Interactive tools built from conjoint, MaxDiff, or pricing results, so users can test product configurations, price points, and competitive scenarios. Delivered as spreadsheet or web-based tools.
Pricing models
Price sensitivity and revenue modeling using conjoint, Van Westendorp, Gabor-Granger, and related methods.
TURF
Total unduplicated reach and frequency analysis for selecting product lines, flavor sets, or message portfolios that reach the most people with the fewest items.
Path analysis
Structural models that trace how attributes and perceptions act on outcomes through intermediate variables, used when a single driver model does not describe the relationships.
Machine learning
Classification and predictive modeling with tree-based, regularized regression, and ensemble methods. Models are built for interpretation as well as accuracy and can be deployed into client environments.
Experimental design for choice exercises
Design of choice tasks, including efficient designs, prohibitions, alternative-specific attributes, and designs for in-person or synchronized display settings.
Weighting
Post-stratification and raking to align survey samples with population targets, with reporting of design effects and effective sample size.
Data Collection and Data Engineering
Continuous survey programs, from programming and sample management through processing and scheduled delivery to client data environments.
Continuous and recurring survey operations
Programming, launch, monitoring, and quality control for tracking studies and recurring programs that run weekly, monthly, or annually over many years.
Event-triggered surveys
Surveys launched from client respondent streams such as purchases, transactions, service events, and account activity, with invitation logic, throttling, and suppression rules.
Managed respondent sample
Sample from real, known sources, including client customer lists, recruited proprietary panels, and partner sources, with tracking of contact history and response. Programmatic marketplace sample is not used.
Data processing and cleaning
Validation, quality checks, coding, recoding, and preparation of survey data for analysis and delivery, with documented rules that run the same way on every wave.
Pipeline engineering and automated delivery
Scheduled delivery of processed survey data to client data warehouses and platforms, including Snowflake, BigQuery, Databricks, and Redshift.
Integration with client data sources
Combining survey data with BI, transactional, behavioral, and consumer metrics from client systems, with matching, keying, and documentation.
Model deployment and monitoring
Deployment of predictive models and classification systems into client environments, with monitoring, scheduled refreshes, and re-estimation as the data changes.
Custom Development and Engineering
Purpose-built platforms, applications, and integrations for research operations that standard survey software does not handle.
Custom survey and data collection platforms
Purpose-built platforms for high-volume or specialized survey operations, including automated setup, quality control, launch, monitoring, and reporting. One such platform has run continuously since 2009.
Custom data collection applications
Applications for data collection that standard survey software does not handle, such as hierarchically structured instruments with independent validation at each level.
Secure portals and registration systems
Respondent and client portals, registration and authentication systems, and secure access to results and data.
Web services and APIs
Real-time data exchange between survey systems and client platforms, including project setup, status reporting, and results delivery.
Custom data engineering and integration projects
One-time and ongoing engineering projects that move, transform, and combine research data with other client data.
Specialized testing applications
Purpose-built applications for controlled testing, such as a synchronized in-person choice exercise in which menu content on displays changes in step with a choice task on an interviewer laptop.
Research operations automation
Automation of repetitive research operations such as project setup, quota management, quality checks, and report generation.
Research Services
The design and execution work needed to run a complete project, from research design through fielding, processing, and reporting.
Research design
Design of studies to answer a stated question, including method selection, measurement, and the analysis plan.
Sampling design
Stratified, multistage, and multilingual sampling designs, including approaches for hard-to-reach populations.
Questionnaire design
Instrument design that measures what the analysis plan requires, with attention to question order, scales, and respondent burden.
Survey programming
Programming of complex instruments, including conditional logic, randomization, quotas, and multilingual versions, with full testing before launch.
Field management and fielding
Launch, monitoring, quota management, and response tracking across online, telephone, in-person, and mixed-mode studies.
Sample management across multiple providers
Coordination of sample across panel and list providers, with deduplication, quota control, and quality screening.
Data processing and tabulation
Cleaning, weighting, and tabulation with banner tables and statistical testing.
Data analysis and reporting
Analysis and reporting in plain language, delivered as reports, presentations, and data files.
Government and Public Sector Research
Program evaluation and public research for state and federal agencies, with a specialization in underserved and hard-to-reach populations.
Program evaluation
Evaluation design and execution for health, human services, early childhood, and community programs, including pre-post comparative analysis, quasi-experimental designs, and logic model development.
Public health research
Survey and qualitative research on sensitive health topics, behavior change, and communication strategy, including work with young adults and underserved populations.
Community and population surveys
Statewide and regional surveys designed to represent demographically and geographically diverse populations, with multilingual collection and stratified sampling.
Research with hard-to-reach populations
Research with minority communities, young adults, rural residents, and non-English speaking groups, using outreach beyond standard survey panels.
Qualitative research
In-depth interviews, focus groups, and open-end coding frameworks, used in program evaluation and in mixed-methods studies.
IRB and research compliance
IRB submissions and compliance for research involving minors and vulnerable populations, with ADA and language accessibility, informed consent, and data privacy protocols built into study design.
Multilingual research and translation
Translation and localization of instruments and materials, with native speaker review and back-translation for conceptual equivalence.
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