Research that compounds.
Most AI starts with a blank prompt. Qori starts with your stakeholder interviews, desk research, and discovery synthesis. Every document builds on the last. Nothing invented. Everything traced.
Watch evidence flow through the chain
A barrier from desk research becomes a probe, an observation, an issue, and finally a ticket in your backlog.
Generic AI generates text. Qori builds evidence chains.
Six steps. One evidence chain. Every document feeds the next.
Qori doesn't generate documents from thin air. It builds them from YOUR evidence — each step extracting variables that compound into the next document. Nothing is invented.
What changes when research compounds.
Copy the last study's guide
Find-and-replace product names. Hope the methodology still applies. Miss the nuance.
Guide from YOUR barriers
Discussion guide generated from the specific barriers your discovery identified. Every probe traces to evidence.
Synthesis in a slide deck
Three weeks of stakeholder interviews reduced to bullet points. Context lost. Nuance flattened.
Synthesis that remembers
Every finding linked to its source. Conflicting viewpoints reconciled. Patterns identified across all evidence.
Findings in a PDF
Research report emailed to stakeholders. Read once. Filed. Development continues unchanged.
Findings in the backlog
Each usability issue becomes a GitHub issue with severity, evidence, affected journey, and recommended fix. Research reaches the code.
Same prompt. Different results.
We asked both tools to generate a discussion guide for a VA Mobile App navigation study. One had evidence. One had a prompt.
“Can you walk me through how you typically navigate the app? What features do you use most often?”
“5-8 participants is generally recommended for usability testing.”
“Show me how you'd check the status of your disability claim. Talk me through what you're looking for as you go.”
“6 participants: 3 journeys × 60min sessions ÷ 15min per journey = sufficient coverage for saturation.”
Generic AI generates plausible research documents. Qori generates evidence-based research documents. The difference shows up in the quality of your findings.
Every document feeds the next. Nothing starts blank.
Qori extracts variables from each document and transforms them for the next. A barrier in your synthesis becomes a probe in your discussion guide, an observation tag in fieldwork, and a severity-rated issue in your readout. One chain. Full traceability.
Qori teaches while you work.
Every recommendation cites methodology sources. Every pre-fill explains its reasoning. The coaching layer makes junior researchers stronger and saves senior researchers from explaining the basics.
Compliance isn't an afterthought.
Qori was built for VA researchers. Every feature accounts for federal requirements — from PII handling to records management.
PII Auto-Redaction
Names, SSNs, addresses detected and redacted before any AI processing. Your participants' privacy is protected by default.
NARA Records Compliance
Full audit trail. Every generation logged with timestamp, inputs, model version. Meets federal records management requirements.
WCAG AA Accessible
Every interface meets Section 508. All text passes 4.5:1 contrast. Full keyboard navigation. Screen reader compatible.
GovCloud Ready
AWS Bedrock GovCloud and Azure OpenAI Government. Your data stays in authorized boundaries.
Build your evidence chain.
Start with desk research or stakeholder interviews. Qori builds the chain from there — every finding traceable to its source.
Start a study →