Research. Simplified.
AI-enhanced. Scientifically rigorous.
Design experiments, surveys and vignette studies in minutes – no coding required. AI helps you set up, and science keeps it rigorous.
10 free tokens daily · No credit card required
9 languages · consent, instructions and UI – all translated, zero extra work
Seven paradigms. One platform.
Blind Comparisons
ELO-ranked pairwise or group comparisons. No order bias, no position effects.
Surveys & Scales
Likert scales, multiple choice and open text with randomized ordering.
Vignette Studies
Scenario-based surveys with pinned stimulus text. Latin square counterbalancing built in.
Reaction Time
Millisecond-precise timing for Stroop, priming, go/no-go and visual search tasks.
A/B Preference
Two-alternative forced choice between variants with built-in significance testing. Between-subjects random assignment ships in v2.7.
Categorical Perception
Match-to-sample paradigm for within/cross-category discrimination with accuracy and RT.
Method of Adjustment
Drag a stimulus until it matches a reference. Continuous-error DV for Müller-Lyer, Ebbinghaus and Ponzo illusions.
AI that assists, never decides
AI handles setup so you can focus on research. Every AI suggestion is reviewed by you before it reaches participants.
AI study configurator
Describe your research question in plain language. AI recommends the right paradigm and pre-fills your study.
Scenario generation
Generate vignette scenarios from a theme description. Edit, reorder and approve before publishing.
Item analysis
Post-pilot Cronbach’s α, item-total correlations and revision suggestions – computed automatically.
Read-aloud narration
Browser-native text-to-speech reads scenarios and questions aloud for accessibility.
Built for publication
SciBLIND is designed to produce data that meets peer-review standards.
Every study ships its own audit trail
SciBLIND produces the three artifacts reviewers ask for – automatically, on every publish.
Methodology PDF
One-click pre-registration-ready report. Paradigm, stimuli, counterbalancing scheme, randomization seed, inclusion criteria – formatted for journal appendices and ethics boards.
Reproducibility bundle
JSON export with study definition, stimulus hashes, RNG seed and platform version. Reimportable into any SciBLIND instance. The .psyexp equivalent – without the code.
Timing audit
Per-participant jitter histogram grounded in Reimers and Stewart 2015. Plain-English grade – excellent, good, fair, poor – so you can filter trials on empirical fidelity, not assumptions.
Shipped April 2026. Live on every published study.
Why SciBLIND?
Sci · Bias-Limited INdependent Decision
Every decision deserves clean data. Whether you’re a researcher running a psychophysics study or a product team testing two designs – SciBLIND removes the noise so you can trust the signal.