Discrete choice
Use cases
Message Testing for Sensitive Corporate CommunicationsA communications leader needs a truthful release that answers stakeholders' questions before wording becomes a public commitment.
Use cases
How to Evaluate Synthetic-Panel Tools Before You Commit BudgetConsider Subconscious when a controlled buyer comparison can resolve a research spending decision.
Use cases
Customer Insight Platforms: Matching the Evidence Tier to the DecisionA research procurement owner needs to buy an answer that supports a specific commitment.
Use cases
Cost-Plus or Value: How to Stress-Test a Price Before You Lock It InA founder needs a first rate card that the company can deliver before proposals become signed contracts.
Use cases
Choosing a Pre-Launch Validation Method for Messaging, Pricing, and PositioningA launch lead must freeze an offer, message and production budget before the campaign starts.
Use cases
Analytics, Tracking, or a Controlled Experiment: Picking the Right Target-Group Research Instrument in 2026A marketing research lead needs to decide which message deserves budget for a defined target group.
Use cases
AI Purchase Intent Research: Testing Trade-Offs Before You LaunchA launch owner needs to choose an offer against the incumbent and the option to buy nothing.
Use cases
8 AI Buyer Simulation Approaches for B2B Sales Teams in 2026A sales-enablement leader buying buyer-simulation software needs a training requirement and a grounded scenario.
For buyers
AI Research for Management Consultants: Choosing the Right Stage for Simulation vs. Causal TestingSubconscious can help a commercial-diligence team evaluate a proposed price before the investment committee treats that price as an operating assumption.
For buyers
When Roadmap Debate Needs a Controlled ComparisonUse Subconscious to compare feasible product changes before committing scarce engineering capacity.
For buyers
Should You Expand to a New Market? A Causal Framework for FoundersPrioritize the candidate market where a feasible offer, credible demand evidence and delivery economics support the next commitment.
For buyers
How Market Researchers Become Strategic AdvisorsMarket researchers become strategic advisors when they connect a measured buyer response to a business action an executive can accept.
For buyers
The Consumer Analyst's Staged Path From Concept Screen to ValidationA consumer analyst should stage concept research around the next funded action.
Implementation
Choosing Attributes and Levels for a Discrete Choice ExperimentThe decision before the study runs
Methods and validation
MaxDiff vs. Conjoint vs. NPS: Which Instrument Matches the DecisionAn insights lead scoping a study has three common instruments to choose from, each answering a different question.
Use cases
Validate a Business Idea Before You Build ItYou have a business idea, but you don't know whether its buyer problem is real enough to support a business.
Comparisons
Before You Build the Survey: Testing What Actually Drives the DecisionA randomized discrete-choice experiment, testing structured tradeoffs between attribute combinations, estimates which of the attributes you specified move a choice most, before a…
Comparisons
Panel Data vs. Controlled Experiments: Choosing the Right Tool for a Pricing or Packaging DecisionA brand manager deciding whether to change a price, a package, or a claim usually starts with the same question: what do we already know?
Implementation
How to Build a Customer Persona Worth Testing AgainstA persona worth testing records evidence about the buyer's role, context, history, decision process, and constraints.
Comparisons
Real Panels, Synthetic Conversations, and Causal Tests: Picking the Right Research Tool for a Launch DecisionA marketing or insights leader choosing a research tool for an upcoming pricing, messaging, or launch call is usually picking among three different kinds of evidence, not one.
Implementation
How to frame a causal behavioral experimentA useful experiment starts with a decision, not a broad request for insights.
Use cases
When a Chat With a Simulated Target Group Is Enough, and When It Isn'tA marketing, product, or insights leader evaluating a target group before a launch, a message, or a feature faces the same question: is a fast, open-ended conversation with a…
Implementation
How to Roll Out Causal Experimentation Past a Single PilotAn insights or research-ops lead who has run one causal experiment on Subconscious faces a harder question: how far to commit before the method has proven itself.
Methods and validation
Feature Prioritization: Frameworks, Tools, and EvidenceFeature prioritization helps a product manager decide which features deserve the next release by comparing their expected value and delivery effort.
Comparisons
Persona Chat or a Structured Choice Experiment: Which Evidence Should Back a Market Decision?Use a one-on-one persona chat to explore language and rehearse an argument. Do not use one simulated character's reaction to greenlight a pricing change, message, or launch.
Use cases
Synthetic User Research Platforms: Which Method Fits Your Decision?Synthetic user research is now a practical category with real tools and real buyers. The harder question isn't which vendor to pick.
Comparisons
Persona Simulation Tools vs. Causal Choice Experiments: A Buyer's ComparisonPersona products may offer conversations, data-grounded profiles, documents, or specialized simulations. Some also offer experiments.
Comparisons
AI Personas vs. Buyer Personas: When to Use EachBuyer personas and AI personas both try to answer who your customer is, but neither one tells you whether a specific message, price, or feature will actually work with that…
Comparisons
Persona Chat vs. Controlled Discrete-Choice Experiments: Choosing the Right Research MethodTwo things get lumped together as "AI market research" that measure completely different things: an open-ended conversation with a chatbot persona, and a controlled…
Use cases
Test Sales Messaging Before the Enterprise Call, Not During ItWhat does colleague roleplay establish?
Methods and validation
When a Flat Choice Model Misrepresents CannibalizationA consumer-goods pricing or revenue-growth leader planning a new product launch needs to know one thing before committing trade spend: will this product mostly take share from…
Use cases
What Is a Synthetic Persona?A synthetic persona is a model configured to respond as a customer segment, buyer role, expert, or stakeholder. Demographics, context, and attitudes condition the conversation.
Methods and validation
Hierarchical Bayesian Latent-Trait Estimation, ExplainedA number published without its limits reads as marketing. Trusting a model's output for a pricing or positioning decision means trusting how it handles uncertainty.
Implementation
How to Sequence Target-Group Research Before You Field a StudyBefore fielding a launch study, define the decision and required evidence, then choose how to resolve the remaining uncertainty.
Implementation
How to define the population for a discrete-choice experimentThe decision this step makes
Case studies
Before Replicating Rao et al.'s Rural Job-Preference Study: What a Comparison Must PreserveA workforce planner deciding which rural job incentives to test can use a published choice study to develop alternatives.
For buyers
Should Your Agency Add a Research-Validated Retainer Tier?Clients on a retainer expect proof the work will land before the media budget goes out, not performance metrics after it does.