Single-Case Informatics is an end-to-end platform for single-case experimental research. Protocols are reviewed line-by-line by AI and scored for completeness, with IRB forms auto-filled from the study. Observation data is logged in session, on mobile, or extracted from uploads by AI. Analysis produces publication-ready graphs, APA 7 tables, posters, and report drafts. Completed studies publish to an open library — protocol, data, and figures intact — built for citation and replication by individuals, mentored students, labs, and universities working on the same studies, together.
Keywords: single-case design, replicability, applied research, open methods
One platform, every phase of the study.
A protocol strong enough to replicate.
Ambiguity is the enemy of replication. Before a single session runs, AI reads your protocol like a skeptical reviewer — flagging vague procedures, undefined measures, and gaps a replicator would trip over.
During intervention sessions, the therapist will deliver frequent verbal prompts contingent on off-task behavior. Sessions will be conducted as needed across the school week, and data will be summarized at the end of each phase…
Collection that keeps pace with real settings.
Classrooms and clinics don’t wait. Log sessions as they happen — on the web or the mobile app — or upload a graph image and let AI read the data points out. You review, it files.
From sessions to submission-ready.
Analysis produces what journals actually accept: clean single-case graphs, APA 7 tables, and posters and reports prefilled with your study’s details — down to the phase labels.
Publish where replication happens.
Completed studies live in the Case Study Library — public, structured, and complete. Another researcher can read your exact protocol, see every session, and cite it in one click.
One case is a finding. Replicated, it becomes knowledge.
Single-case research earns its evidence through repetition — across participants, settings, and behaviors. Yet replications stay rare, because protocols are ambiguous and data sits locked in PDFs. We built the platform to change the default: protocols written to be repeatable, and a library that publishes them whole.
Explore the Case Study Library →Built for how research actually gets done.
From a solo practitioner to a methods course with forty students — shared workspaces move studies forward together, with supervision built in where it matters.
Every phase in one workspace — from first protocol draft to a published, citable study.
Students run their studies; you review protocols read-only and leave feedback anchored to the exact property it’s about.
Same-study collaboration with workspace roles and org administration — a team moves faster than its members.
Begin with a single case.
Your next study — proposed, collected, analyzed, published, and ready to replicate in one place.