Research audience for organizations that can’t afford bad data.
Research For Good is the people data company. Access verified human respondents, simulated personas built from real human data, and the high quality foundation to power better research and more reliable AI.
Verified Respondents
Human Data Points
Bid response time
What being a “People Data Company” means for you
At Research For Good, we provide organizations with access to quality-verified real humans and their data for research, for AI, and for everything that depends on understanding people accurately.
Human respondents. Delivered with precision.
Verified human respondents for surveys, brand trackers, and ad hoc studies. Psychographic targeting across 45+ dimensions on top of 1000+ additional targeting dimensions. Hard-to-reach and niche audiences (healthcare, B2B, low-incidence populations) delivered on time. No project minimums.
Simulated personas. Built from human data.
Human behavioral data for model training, validation, and augmentation. Simulated respondents built from 2 billion+ human data points. And because Research For Good’s core business is continuous human data collection, the data is always current and always high-quality.
Why does data quality matter more than ever?
Bot activity, professional survey takers, and respondents who pass screeners but fail studies have resulted in cheap CPIs but unreliable data.
The cost shows up later: in remediation, re-fielding, and insights you can’t stand behind.
Beyond human respondents, survey data from simulated personas is only as reliable as the human data they’re built from.
If synthetic respondents are built on poor quality foundational data, you create the same quality problem, in a new place.
Whether you’re running a tracker study or training a language model, the integrity of the output is determined by the integrity of the input.
That’s the problem Research For Good was built to solve.
Built by people who understand what poor quality data costs.
Research For Good has spent years helping researchers find the right respondents and protect the integrity of quantitative studies. That same research expertise now powers a broader people data platform. One that connects human participation, quality controls, simulated respondents, and human-derived data.
The result is a more dependable foundation for every insight, model, and decision.
The proprietary engines behind the platform
DataForce
DataForce transforms continuously collected human data into usable respondent access, simulated personas, and scalable data outputs.
QuIP
QuIP protects the quality of the people and data entering the platform, helping customers work from stronger human inputs.
Human Support, Always
Our team is available 24/5 with weekend coverage, providing 2-hour bid response, proactive updates, and thoughtful solutions.
Tap into the people data you need
Tell us who you need to understand
Share your audience, timeline, and constraints. We’ll discuss human respondents, simulated respondents, AI training data, or some combination to provide a thoughtful and realistic feasibility assessment.
We run your project with layered quality controls
QuIP and DataForce work together throughout. Human or simulated, fielded or generated, exceptional quality is applied at the source, not added on top.
Get insights you can trust
Clean, targeted, documented. Whether it came from a thousand human respondents or a thousand simulated ones, it came from Research For Good, and that means something.
About Research For Good
Research For Good is the People Data Company, providing organizations with access to quality-verified human respondents for market research and AI activities, simulated respondents built from human data for scalable insight generation, and AI training datasets from a consented, continuously updated source. Built on a 27M+ respondent network, 2 billion+ human data points, and a proprietary quality methodology called QuIP, Research For Good is designed for organizations that treat data quality as a non-negotiable. Whether fielding a tracker study, training a language model, or building the next generation of synthetic research. And since 2016, every survey complete has funded a donation to Action Against Hunger.
