Research governance infrastructure

Infrastructure for dDefensible Delphi and consensus research.

  • Design rigorous studies with structured items, panels, rounds, rules, and thresholds.
  • Run consensus rounds with anonymity, reminders, participation tracking, and controlled feedback.
  • Publish with confidence using consensus tables, methods text, audit logs, and manuscript-ready exports.
Request early accessView example workflow
Built for the full Delphi lifecycle
Study DesignPanelistsRoundsConsensus RulesAI SynthesisAudit TrailReportsExportsIRB-ready
Perioperative Care Consensus StudyActive
SR
Overview
Round 1
Round 2
Analysis
Report
2 feedback summaries await approval
Round 2
In progress
Closes in 5 days · 32 of 45 panelists responded
Participation
71%
32 / 45
Consensus (≥70%)
18 / 23
78%
Kendall's W
0.62
Moderate agreement
Items decided
12
52%
of 23 active
Item decisions (Round 2)
Item
Median (IQR)
Consensus
Decision
1. Preoperative carbohydrate loading
1
52 (1–2)
86%
2. Goal-directed fluid therapy
1
53 (2–4)
62%
3. Intraoperative normothermia
1
54 (3–5)
47%
4. Postoperative nausea prophylaxis
1
52 (1–2)
91%
View all 23 items →
Built for
Clinical guideline groupsMedical education researchersHealthcare consensus panelsPolicy & governance working groupsResearch consortia
The Research Reality

Your tools were built for surveys.
Not consensus methodology.

Most Delphi studies still depend on spreadsheets, email threads, and ad-hoc scripts — making rounds harder to manage, decisions harder to trace, and results harder to reproduce.

The Usual Workaround
With Delphi Studio
Spreadsheets, email threads, and disconnected files
Information gets lost and version control becomes impossible.
One structured workflow from protocol to final report
All study assets, data, and decisions in one secure place.
Manual round setup, reminders, and closeout
Time-consuming and prone to delays and drop-offs.
Automated round management with panelist tracking
Smart reminders, real-time progress, and fewer drop-offs.
Separate scripts for consensus statistics
Reproducibility depends on custom code and manual checks.
Built-in consensus analytics
Median, IQR, agreement, stability, and Kendall's W — calculated instantly.
Decisions scattered across notes and documents
Hard to trace how and why decisions were made.
Defensible audit trail for every item, round, and disposition
Complete traceability from input to final decision.
Reporting assembled manually at the end
Hours (or days) spent building tables, methods text, and appendices.
Publication-ready exports
Tables, methods language, CSV/Word/PDF exports, and appendices — ready to publish.
Delphi Studio gives consensus researchers the structure their methodology requires.
See the workflow
SecureReproduciblePublication-ready
Full Lifecycle Management

Every phase of a Delphi study, in one platform.

From initial item design through iterative rounds to final reporting — structured, automated, and peer-review ready at every step.

1. Design
Define items, thresholds, and consensus rules.
2. Invite
Recruit experts and configure panel anonymity.
3. Round 1
Collect ratings and open-text comments.
4. Analyze
AI-assisted synthesis, researcher-approved feedback.
5. Round 2+
Iterate until consensus or stability is reached.
6. Report
Export manuscript-ready artifacts and audit logs.
Consensus Emergence

See expert agreement converge across rounds.

Each bar shows the interquartile range — how widely expert ratings are distributed. As rounds progress and controlled feedback is shared, disagreement collapses into consensus.

Item
Round 1 — IQR spread
→
Round 2 — IQR spread
Outcome
Multimodal analgesia as defaultMedian 5→8 · IQR 2.8→0.8
Wide spread — no consensus
Tight agreement — high score
Retain
Preoperative risk stratificationMedian 6→7 · IQR 3.1→1.0
Moderate spread — under discussion
Agreement reached
Retain
Pre-op skin decolonizationMedian 5→5 · IQR 2.5→2.1
Spread — mixed expert opinion
Slight narrowing — needs another round
Re-rate
Antibiotic prophylaxis >24h post-opMedian 3→3 · IQR 2.2→1.8
Low rating — mixed on exclusion
Consistent low rating — excluded
Drop
4.2×
Avg IQR reduction, R1→R2
43%
Items reaching consensus
0.74
Kendall's W (overall agreement)

Built for the method. Controlled by researchers.

Methodologically defensible

Delphi-specific statistics, consensus rules, and stability metrics — enforced by the platform.

  • Median, IQR, and Kendall's W per round
  • Three-way item classification with configurable thresholds
  • Round-over-round stability tracking
CREDES-alignedModified DelphiRAND/UCLA

Governed AI assistance

AI-assisted synthesis with researcher-controlled approval and full auditability.

  • AI proposes themes and feedback summaries
  • You edit, merge, or reject every proposal
  • Full audit trail of every AI suggestion and decision

Manuscript-ready outputs

Generate consensus tables, methods text, and export artifacts aligned with peer-reviewed reporting standards.

  • Consensus tables and distribution figures
  • Auto-drafted methods and results text
  • Export to Word, PDF, CSV

Designed alongside clinical researchers, medical educators, and consensus-methodology experts. Built to support peer-review-ready Delphi workflows across academic medicine, guideline development, and institutional governance.

CREDES-aligned reportingModified DelphiRAND/UCLA AppropriatenessIRB-aware workflows

Trust and governance at the core

Designed with the reproducibility, privacy, and auditability expectations of academic and clinical institutional review.

Privacy by design

One-way communication enforced structurally — panelist identities never exposed.

Explicit methods

Thresholds, scoring rules, and stopping criteria locked upfront.

Audit everything

Every action logged with timestamp and exportable for peer review.

Researcher control

Nothing is final without your approval. AI assists; researchers decide.

Built for teams working on decisions that matter

Clinical guidelines

Develop recommendations and rate appropriateness with defensible, reproducible consensus.

Education scholarship

Validate curricula, assessments, competencies, and entrustable activities.

Quality improvement

Build expert consensus on standards, workflows, and implementation priorities.

Policy & governance

Create structured consensus on policy, ethics, AI safety, and institutional procedures.

Research consortia

Coordinate distributed multi-site panels and complex, multi-round consensus initiatives.

Start here

Ready to run a Delphi study you can publish with confidence?

Explore the platform at whatever pace works — from a sample report to full early access.

Step 1

View an example report

See what a complete Delphi study output looks like — consensus tables, stability metrics, and methods text — before committing to anything.

See consensus in action
Step 2

Download the methodology overview

A PDF covering the Delphi method, how Delphi Studio structures each phase, and how outputs align with peer-reviewed reporting standards.

Download PDF
Step 3

Request early access

Delphi Studio is in early access for academic and clinical researchers. Join to run your study and shape the product.

Request early access