Replication
Use cases
Before You Trust a Simulated Buyer Study, Ask What Validates ItA CMO needs to know whether a configured buyer study supports a production commitment.
Methods and validation
Bayesian Spatial Modeling for Evaluating Hockey Goaltending PerformanceA goalie's save percentage answers a narrow question: what share of shots did they stop?
Company and trust
How much validation does a research decision need?A buyer weighing causal experimentation against incumbent market research asks two questions: does this method answer "why," and how much validation does this decision need before…
Methods and validation
Aaru and EY: What a 0.90 Median Spearman Correlation CoversA synthetic-research vendor publishes a correlation against a Big Four partner's survey, and the number circulates as proof the category works.
Use cases
Self-Improving AI Agents: When Is an 'It Got Better' Claim Real?A coding agent's instructions get rewritten by an optimizer, a benchmark score goes up, and someone proposes shipping the change.
Comparisons
Synthetic Responses vs. Causal Experiments: Choosing a Market Research ToolChoose a market research tool by the evidence it produces for the decision at hand.
Comparisons
Simulated Markets vs Real Participants: How Much Evidence Does the Decision Need?A simulated-market experiment can carry an exploratory decision when its calibration is relevant and the cost of a wrong call is limited. It should not carry every decision alone.
Methods and validation
Predicting Swinging Strikes with Bayesian Additive Regression TreesBayesian additive regression trees predict swinging strikes by summing many shallow trees fit through MCMC sampling over pitch-tracking features like velocity and spin rate…
Methods and validation
Can LLM-Generated Open-Ended Survey Responses Match Real Issue Distributions?A consumer insights leader deciding whether to trust LLM-generated open-ended answers before fielding qualitative research needs one question answered: do those answers reflect…
Methods and validation
What a World Cup Forecasting Model Teaches About Trusting a Model at AllA model can hit its headline accuracy target and still be wrong on the exact numbers a decision depends on.
Methods and validation
When Is a Simulated Behavior Model Trustworthy Enough to Act On?A modeled behavioral effect becomes useful when relevant external evidence supports the estimate and its uncertainty, and the remaining risk is acceptable for the decision.
Methods and validation
Why Causal Effects Come With a Spread, Not a Single NumberA vendor hands you a causal effect with a confidence interval attached.
Use cases
What Is AI Market Research? Definition, Methods, and Where It Still Needs a Human CheckAI market research uses artificial intelligence to conduct, accelerate, or interpret market research: AI-generated synthetic respondents, automated analysis of qualitative data…
Use cases
Validating Agentic Research Output: A Five-Layer Eval FrameworkEvery automated research pipeline runs into the same question: how do you know the output is real before you act on it?
Methods and validation
What to Demand Before You Trust a Synthetic-Respondent Vendor's Accuracy ClaimA vendor's self-reported accuracy number is a marketing claim until you can reproduce it.
Methods and validation
How to compare simulated and human experimental resultsCompare simulated and human experiments only when the audience definition, stimuli, assignment and measured outcome are aligned.
Methods and validation
How to Tell If a Causal Vendor's Probability Model Is AuditableA data science leader vetting a causal behavioral platform for a paid pilot needs one question answered before budget moves: can this vendor show the exact path from its modeling…
Comparisons
Simulated vs Recruited Research: Choose the Evidence Your Decision NeedsChoose the method by the consequence of being wrong. Use a simulated experiment to compare actions and narrow a directional question.
Comparisons
PyMC-Marketing vs. Google Meridian: What to Check Before a Benchmark Moves Your BudgetA marketing analytics team choosing between PyMC-Marketing and Google Meridian can use published benchmarks to inspect sampling and parameter recovery.
Case studies
When to Rerun a Causal Experiment Before You Act on ItA research or insights lead who already ran a causal experiment eventually asks the same question: is the finding still good, or does the budget and strategy riding on it need a…
Case studies
What a Weak Replication Correlation Would Tell a Product TeamA weak correlation between simulated and human preference estimates calls for inspecting the matched estimates, uncertainty and decision risk before choosing a product.
Case studies
Checking a Simulated Car-Feature Study Against the Wu ConjointA simulated car-feature study needs a matched human comparison before an automotive team uses its ranking to allocate engineering or marketing budget.
Case studies
What a Simulated Replication of Lüthi and Prässler's Wind-Developer Study Must ShowAn energy-policy team may need to understand how permit procedures, grid access and financial support affect developers' assessment of a wind market.
Case studies
12 Human Studies for Evaluating Simulated Choice ResearchA research leader evaluating a simulated choice result needs the original human task and a matched simulation record.
Case studies
What a Simulated Replication of Adida et al.'s Refugee-Preference Study Must ShowA researcher studying public attitudes toward refugees needs to measure the specific admission question and inspect discriminatory differences.
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.
Case studies
Checking a simulated vaccine-allocation study against Duch et al. 2021A health-policy team deciding how to explain vaccine allocation needs evidence about whom people prioritize.
Case studies
What a Simulated Replication of Kreps et al.'s Vaccine-Preference Study Must ShowA public-health communications team can use a choice experiment to study how vaccine descriptions affect stated willingness. That evidence differs from observed uptake.
Case studies
How to Assess a Fish-Preference ReplicationA simulated fish-choice study earns trust through a matched comparison with human evidence, not a benchmark borrowed from another experiment.
Case studies
Checking a Synthetic Experiment Result Before You Act on ItThe decision: trust the number, or check it first
Case studies
What a Simulated Replication of Adam et al.'s Patient-Preference Study Must ShowA health-services team testing a treatment experience needs to distinguish what patients prefer about the consultation from whether a treatment is clinically effective.
Case studies
Checking a simulated immigration-attitudes study against Hainmueller & Hopkins 2015Immigration-attitudes research needs to separate preferences about particular applicants from preferences about total immigration.
Case studies
How to Validate a Simulated Yogurt-Choice StudyA yogurt brand considering a functional product needs to understand how product type, brand familiarity, price and a health claim affect stated choice.
Case studies
Checking a Simulated Carbon-Tax Study Against Bechtel et al. 2022A policy team assessing a carbon-tax proposal needs to know whether international cooperation changes public support. A simulated study can help develop that question.