Contribute evidence to the systems we study.
Useful benchmarks start with transparent collection. Choose a study below to contribute structured, non-identifying response data. We publish aggregate findings only after the study's evidence and methodology gates are satisfied.
What happens to a response.
No direct contact fields
The research forms do not ask for your name, email, phone number, street address, customer ID, payment information, or manuscript text.
Aggregate analysis
Eligible responses are analyzed as grouped research observations. Small categorical cells are suppressed under the research privacy rules.
Transparent limits
Published reports disclose collection dates, sample size, sampled population, methodology, exclusions, and limitations.
Voluntary participation
You can choose whether to participate. The forms use fixed-choice and numeric questions so the research dataset stays structured and auditable.
Choose a research track.
Creator Operations
Help measure the workload, monetization mix, and recurring operational friction inside creator-led work.
AI Workflow Adoption
Help measure where AI changes labor, how much human review remains, and which controls are used in repeatable workflows.
Independent Digital Publishing
Help measure production, metadata, edition-control, distribution, discoverability, and rework friction.
How participation connects to published evidence.
Research program: MINDSET-RESEARCH-PROGRAM-2026. Participation pages collect structured observations; they are not themselves benchmark reports. A study can move from collecting to publishable only after its minimum sample gate, eligibility checks, exclusion rules, methodology review, limitation statement, and aggregate-analysis controls pass.
Read the methodology before you participate.
The research program separates observed data from interpretation and does not present a sample as representative beyond the population actually observed.