Controlled interrupted time series
Uses repeated observations before and after policy introduction with matched comparison sites.
- Time-varying trend is explicit
- Comparison series is available
Weavidence Journey is not a chatbot that writes a protocol for you. It is a governed research-design system that makes the decisions behind a protocol explicit, inspectable, and traceable — while the researcher, not an AI model, retains final methodological authority.
A finished protocol document rarely shows the decisions that produced it: why one study design was chosen over another, what evidence supported that choice, what alternatives were considered and set aside. When a design is questioned later — by a reviewer, an ethics board, or the researcher’s own future self — that reasoning is usually gone, leaving only the polished final prose to defend itself.
Weavidence Journey keeps state before prose: the research question, the candidate study designs, the evidence for and against each, and the researcher’s own decision are all held as explicit, inspectable state — with the protocol document generated from that state, not the other way around. Every step preserves human authority, visible uncertainty, and a real revision history, so a design choice can always be traced back to the reasoning and evidence behind it.
Does a low-emission-zone policy reduce annual mean NO₂ at urban monitoring sites compared with matched sites outside the zone?
Uses repeated observations before and after policy introduction with matched comparison sites.
Potentially suitable, but the parallel-trends assumption requires stronger pre-policy evidence.
Temporal structure needs attention.
Comparison-series coverage is adequate.
One blocking evidence item remains.
Export will include the saved protocol revision, selected-design rationale, unresolved concern, reviewer state, and Decision Trace. No export is generated from this public representation.
State the question the study is meant to answer before any design decision is made.
Identify the facts that materially affect study design — population, exposure, outcome, setting.
See design options side by side, with their concerns, uncertainty, and tradeoffs made visible rather than hidden inside a recommendation.
Accept a candidate design or choose a different one — the override itself becomes part of the traceable decision record.
The protocol is built from the same governed state as the decisions that produced it, not drafted separately.
See findings, transition readiness, and any accepted risk before moving forward.
Preview the protocol and its full decision trace, then generate outputs in the format you need.
Three distinct, deterministic indicators, not one blended AI-generated quality score. Score dimensions describe current evidence; design fit and lifecycle readiness are separate decisions.
Every design confirmation or override is preserved as part of the protocol’s own record, not lost once the final document is generated.
The researcher confirms or overrides every design decision — the system never finalizes a methodological choice on its own.
Read, edit, suggest, and compare modes keep prior revisions inspectable rather than silently overwritten.
Generated from governed state, in professional HTML, PDF, DOCX, or canonical JSON.
A record of the study-design decisions behind the protocol — what was considered, what was chosen, and why — included with every export.
For teams that need the underlying structured record, not just the narrative document.
Journey’s five stated commitments are: state before prose, human authority, visible uncertainty, selective invalidation, and revision integrity. The researcher retains final methodological authority at every step — the system supports the decision; it does not make it.
Every export includes a Decision Trace: the record of what was decided, in what order, and why. Read, Edit, Suggest, and Compare modes keep the history of a protocol’s revisions inspectable rather than silently overwritten by the latest version.
Weavidence Journey is a real, operational, production-deployed application — this is not a mockup or a future plan. External scientific validation of the platform itself has not yet been completed, and Journey is explicitly a research-design support system, not a clinical decision system: it does not guarantee scientific correctness, does not replace expert review, and does not treat fluent output as proof.
Yes. It is operational at app.weavidence.com, free to use through a personal Google sign-in — no shared credentials or paid subscription required.
No. It is a governed research-design system, not a chatbot that generates a protocol. It makes the decisions behind a protocol explicit and traceable while the researcher retains final methodological authority.
Three separate, deterministic indicators. Decision Score reflects how strong and well-supported your current decisions are; Design Fit reflects how well a specific candidate design matches your objective and evidence; Readiness reflects whether your current state is complete enough for a given transition. They are related, but never collapsed into one number.
No. It is explicitly a research-design support system, not a clinical decision system, and is not intended for clinical use.
Not yet. External scientific validation is a separate, ongoing effort and remains incomplete — this is stated plainly rather than implied otherwise.