Minds vs GetWhy: Synthetic Panels vs AI Human Research

Minds delivers an end-to-end synthetic research platform that simulates target audiences on the PRISM engine, whereas GetWhy automates the recruitment and AI analysis of live human video panels. Minds wins for rapid, low-friction concept, UX, and messaging iterations without panel recruitment costs, while GetWhy wins when high-stakes decisions mandate observed human video responses.

At a glance

How minds actually works

Minds is an end-to-end commercial synthetic research platform that simulates target audience panels directly through silicon sampling. At the core of the platform is Minds PRISM, a proprietary reasoning, inference, and source-modeling engine. PRISM combines public-source context with permitted customer research inputs where enabled to maximize grounding and consistency within directional synthetic research. Product, marketing, and insights teams interact with Minds across a unified interface supporting qualitative interviews, open-ended explorations, standard and custom scales, single-choice, multiselect, and forced-choice methods like MaxDiff. Minds allows researchers to test concepts, copy, packaging, and digital interfaces before committing resources to live field trials.

How getwhy actually works

GetWhy is an AI-powered consumer research platform designed to automate qualitative insights from human participants. The platform recruits verified human respondents globally, screens them against specific demographic criteria, and conducts unmoderated, AI-guided video interviews. As respondents answer prompts and interact with digital stimuli on camera, GetWhy's AI research engine analyzes spoken dialogue, transcripts, and emotional expressions. The system generates thematic summaries, highlights key sentiment patterns, and compiles video highlight reels. GetWhy is built to replace traditional manual qualitative agency work by providing rapid video evidence from real consumers backed by enterprise single sign-on security.

Core architectural differences: Synthetic simulation vs human recruitment

The architectural divergence between Minds and GetWhy reflects two fundamentally different philosophies in modern market and user research.

GetWhy focuses on modernizing the traditional human panel pipeline. In a standard qualitative study, recruiting participants, scheduling sessions, moderating interviews, transcribing recordings, and tagging video snippets requires substantial human labor and several weeks of calendar time. GetWhy compresses this operational timeline by automating participant screening, using an AI moderator to guide human respondents through conversational tasks, and using machine learning models to synthesize transcripts into executive-ready video reels. However, the foundational unit of analysis remains an individual human sitting in front of a webcam. This means research operations remain bound by human availability, panel sample sizes, and per-respondent incentive structures.

Minds takes an entirely different architectural route by replacing participant recruitment with silicon sampling on the Minds PRISM engine. Rather than searching a panel database for human respondents, Minds constructs synthetic target audiences from demographic parameters, behavioral profiles, market research notes, customer interviews, and strategic documents. When a researcher launches a study, PRISM models how these specific buyer personas reason, evaluate options, and react to stimuli.

Because Minds operates entirely through computational simulation, researchers do not encounter participant recruitment dropouts, scheduling conflicts, panel fatigue, or fraudulent human respondents attempting to collect incentives. The platform functions as an always-available research sandbox where teams can run hundreds of variations of an idea, refine their questions based on initial findings, and explore niche consumer segments that would be difficult or cost-prohibitive to recruit through classical human panels.

Evaluating research methods: Qualitative exploration, quantitative scales, and MaxDiff

A critical requirement for enterprise research teams is the ability to run mixed-method studies without stitching together disconnected point solutions.

GetWhy is specialized for qualitative research. Its primary medium is video-recorded human answers, which excel at capturing personal stories, spontaneous reactions, voice inflection, and visual facial expressions. While GetWhy's AI engine can categorize qualitative responses into thematic buckets and quantify sentiment frequency, the platform is not designed to execute complex, structured quantitative methodologies. Teams seeking to run forced-choice trade-off experiments, mathematical utility models, or multi-attribute prioritization cannot execute those designs natively within a video interview tool.

Minds is designed from the ground up as an end-to-end platform bridging qualitative and quantitative synthetic research in a single environment. Above the PRISM reasoning engine, Minds provides a broad set of supported question and interaction types:

1. In-depth qualitative exploration: Researchers can conduct open-ended interviews, probe simulated personas for underlying motivations, and ask unscripted follow-up questions to understand why a target group prefers one value proposition over another.
2. Structured quantitative scales: Teams can deploy single-choice, multiselect, Likert scales, semantic differentials, and custom numerical rating frameworks to gauge directional preference distributions across simulated target cohorts.
3. Forced-choice trade-off analysis (MaxDiff): Minds natively supports Maximum Difference Scaling (MaxDiff) within synthetic populations. Product and marketing teams can present dozens of features, benefit claims, or positioning statements in balanced subsets to determine relative preference utilities and deterministic trade-off rankings.

By unifying qualitative probing and structured quantitative methods on the same engine, Minds prevents the workflow fragmentation that occurs when teams use one tool for chat-based concept testing and another for structured surveys.

UX, product, and stimulus testing workflows

Product management and user experience teams require research platforms that integrate seamlessly with digital design artifacts and iterative sprint cadences.

In GetWhy, stimulus testing revolves around presenting digital materials to human participants during recorded video sessions. Users can upload concept images, copy variants, or live website URLs, and watch human respondents record their screens and vocalize their thoughts as they navigate the asset. This provides authentic observational feedback on usability roadblocks, comprehension gaps, and visual appeal. However, setting up these tests, waiting for participant completions, and reviewing video recordings introduces friction when designers need answers across dozens of micro-iterations every week.

Minds treats product and UX research as a first-class synthetic workflow integrated into the rapid design cycle. Within Minds, teams can introduce diverse stimulus formats, including:

• Figma prototypes and artboards where enabled for the workspace
• Interactive application flows and website wireframes
• High-fidelity visual mockups, packaging designs, and digital advertising collateral
• Product feature roadmaps, value proposition decks, and positioning copy
• Structured survey questionnaires and messaging matrices

When testing a Figma prototype or product flow in Minds, researchers can expose multiple distinct simulated personas to the interface simultaneously. The PRISM engine evaluates information hierarchy, value comprehension, perceived usability friction, and emotional resonance based on the specific context of each persona. Designers can modify copy, change layouts, or adjust pricing tiers, and re-run the simulation within minutes to observe how simulated sentiment shifts. This turns user research from a periodic checkpoint into a continuous design partner.

Turnaround speed, iteration cadence, and operational cost framing

Research velocity directly shapes how many strategic options an organization can evaluate before making investment decisions.

When using GetWhy, study timelines are governed by human panel logistics. Although GetWhy accelerates recruiting compared to traditional manual agencies, researchers must still wait for human participants in the target demographic to log on, accept the screener, complete the recorded session, and upload their video files. For broad consumer demographics, studies may finish relatively quickly, but niche B2B profiles or specific international cohorts may take substantially longer. Furthermore, because human participants must be compensated for their time, every additional participant and study iteration incurs recruitment and panel costs. This financial reality often forces teams to limit the number of concepts they test.

Minds eliminates panel recruitment friction entirely. Because synthetic audiences exist as software-defined profiles on the PRISM engine, simulations run on demand. A product team can test five different positioning angles in the morning, analyze directional feedback, adjust the weakest angles, and run a fresh simulation across three newly defined target demographics in the afternoon.

From an operational and financial perspective, Minds enables teams to run high-volume, iterative research at a fraction of the cost of traditional physical panels. Organizations eliminate per-respondent fees, screener incentive overhead, and panel recruitment premiums. This shifts research from an expensive, risk-averse activity reserved for finalized concepts to an agile exploration tool utilized throughout early discovery, concept development, and pre-validation phases.

Data handling, enterprise setup, and workspace deployment

Enterprise deployments require rigorous evaluation of data processing architectures, workspace configurations, and access governance.

GetWhy provides enterprise features centered around managing human participant data, including consent management, video storage compliance, participant identity verification, and enterprise single sign-on (SSO) to control internal researcher access. Organizations deploying GetWhy must ensure that video recordings of external human subjects adhere to their internal customer data handling policies and regional privacy guidelines.

Minds addresses enterprise deployment by providing configurable workspace controls, role-based access management, and structured data handling. Customer research inputs, internal strategy files, and proprietary audience definitions uploaded to train or ground synthetic personas remain scoped to the designated enterprise workspace. Because Minds generates synthetic data rather than capturing personally identifiable video recordings of external consumers, organizations avoid many of the privacy complexities associated with storing live human facial recordings. However, as with any enterprise intelligence platform, specific customer data handling, compliance posture, and deployment requirements should be assessed based on the specific workspace configuration.

Precision boundaries: Where synthetic research ends and human research begins

To use both platforms effectively, insights leaders must understand the precise boundary between synthetic simulation and human empirical observation.

Minds is designed for directional synthetic research. Simulated outputs from Minds PRISM provide structured reasoning, narrative qualitative depth, and directional quantitative rankings based on the input context and modeled consumer knowledge. However, Minds does not produce statistically representative population census data, legally regulated trial evidence, sensory taste test results, or clinical findings. Minds is not intended for political polling or regulatory price elasticity filings. Instead, it serves as a rapid experimentation sandbox that allows teams to de-risk ideas, discard weak concepts, optimize copy, and refine UX flows before taking high-stakes bets.

GetWhy operates on the other side of this boundary by capturing live human reactions. When an executive team demands recorded video testimonials from verified consumers, when an organization requires human facial expression analysis for public reporting, or when a final stage gate requires empirical proof from recruited human subjects, GetWhy provides that human qualitative layer.

Forward-thinking research organizations increasingly use both paradigms in harmony: Minds is deployed upstream to simulate, iterate, and optimize hundreds of ideas rapidly, while human platforms like GetWhy are reserved downstream for final validation on the select winning concepts.

When to choose minds

Choose Minds when your primary goal is rapid, iterative exploration across the entire product, marketing, and UX research lifecycle. Minds is the optimal choice when teams need to test packaging designs, digital interfaces, value propositions, and messaging variants before spending budget, time, and stakeholder trust on physical panels or field trials. It is specifically suited for organizations that require qualitative interviews and quantitative methods like MaxDiff in one connected platform, without incurring per-respondent recruiting fees or operational delays.

Choose Minds if your team wants to:

• Test dozens of creative, copy, or pricing concepts in parallel without panel recruitment costs
• Conduct mixed-method synthetic research combining open-ended probing, rating scales, and MaxDiff prioritization
• Evaluate Figma prototypes, wireframes, and digital product flows directly with synthetic target personas
• Build reusable synthetic audiences representing complex B2C or B2B2C customer segments
• Explore niche or hard-to-reach buyer personas without waiting for specialized panel recruitment
• Iterate continuously during early-stage discovery and sprint planning

When to choose getwhy

Choose GetWhy when your research objectives explicitly require video-recorded qualitative evidence from verified human consumers. GetWhy is the right solution for enterprise research teams that need AI-moderated video interviews, verbatim audio recordings, and visual highlight reels to present to executive stakeholders. It is particularly effective for late-stage qualitative validation, where human emotion, body language, and unscripted personal narratives are mandatory deliverables for strategic sign-off.

Choose GetWhy if your team wants to:

• Collect authentic webcam video recordings of real consumers reacting to brand stimuli
• Generate executive video highlight reels with automated transcription and thematic tagging
• Conduct unmoderated human usability tests with automated AI moderation and screening
• Validate finalized creative campaigns with verified human demographic panels
• Automate traditional qualitative agency workflows while maintaining real human participant observation

Side-by-side workflow comparison across the product lifecycle

To illustrate how Minds and GetWhy function in practice, consider how an enterprise product team navigates a major feature launch from initial concept to final release.

Stage 1: Problem discovery and persona definition

• Minds workflow: The product team uploads existing customer interview notes, market reports, and strategic briefs to generate custom synthetic audiences on the PRISM engine. Researchers run exploratory qualitative simulations to identify unmet needs, emotional pain points, and category frustrations across three distinct buyer segments within hours.
• GetWhy workflow: The team writes a screener questionnaire to recruit 15 to 30 human participants matching target demographic criteria. Once participants accept the invitation, GetWhy's AI moderator conducts unmoderated video interviews, and researchers review the synthesized qualitative summaries and video clips.

Stage 2: Feature prioritization and trade-off analysis

• Minds workflow: The team needs to prioritize 12 potential feature capabilities. They configure a native MaxDiff forced-choice exercise within Minds. PRISM simulates trade-off decisions across the synthetic panels, calculating deterministic utility scores and identifying the high-impact feature bundle.
• GetWhy workflow: Because GetWhy is a qualitative video platform, running a mathematical MaxDiff trade-off model is outside its native scope. The team must either rely on qualitative discussions of feature preferences or deploy a separate quantitative survey tool.

Stage 3: UX wireframe and UI flow testing

• Minds workflow: Designers upload Figma artboards directly into Minds where enabled. Simulated personas navigate the interface, providing structured feedback on visual clarity, comprehension of button copy, and perceived task complexity. The design team makes three rounds of layout revisions in a single afternoon.
• GetWhy workflow: The team uploads interactive prototype links to GetWhy and launches an unmoderated study. Recruited human testers record their screens and talk aloud as they attempt tasks, providing visual proof of user friction and spontaneous verbal reactions.

Stage 4: Messaging optimization and positioning claims

• Minds workflow: Marketing copywriters test 15 headline variations, three pricing tier structures, and five packaging renders across simulated target groups. The PRISM engine delivers qualitative rationales and quantitative scale distributions, allowing the team to eliminate low-performing copy instantly.
• GetWhy workflow: The marketing team selects their top two finalized ad concepts and presents them to a recruited human panel in GetWhy to capture live video testimonials and emotional reactions for executive review.

Stage 5: Final validation and go-to-market sign-off

• Minds workflow: Teams finalize their launch strategy, confident that messaging, interface flows, and feature sets have been de-risked against extensive synthetic audience simulations.
• GetWhy workflow: Teams present compiled video reels of real human consumers to stakeholders as empirical validation of campaign resonance.

Verdict for English buyers

GetWhy focuses on automated recruitment of human participants with verification and fraud prevention, paired with an AI research engine calibrated by human research expertise and secured with enterprise SSO. Minds simulates target audience panels directly through silicon sampling on the Minds PRISM engine, allowing teams to evaluate concepts, messaging, pricing, and UX without recruiting human respondents. For agile product, marketing, and insights teams that require high-velocity, mixed-method qualitative and quantitative exploration at a fraction of traditional panel costs, Minds delivers the most comprehensive synthetic research environment. Explore how silicon audience simulation can transform your concept testing workflow by booking a live demonstration at getminds.ai.