Start with evidence. Grow into a graph your organization can use.
Everything starts with the context of use: a full analysis, a step-by-step analysis, or the knowledge you already have, in whatever form it exists. Each package can be booked on its own, and they build on each other.
- BasisManaged ontologyLicensed with the Graph package. We define and maintain the concepts and relations.
- PlusResearch, evaluation, evidenceFrom Evidence projects, pilots or your existing material. They become maintained context layers in your graph.
Evidence
Where the graph starts
There is no reliable picture of the context of use yet, or a decision is coming up: a new development, a rollout, a product used differently in the field than planned. We analyse the context of use in full or step by step.
- Term
- Project
- Pricing model
- Fixed price per work package or day rate. Amounts on request.
Scope
- Human-centered research: interviews, field observation, surveys, diary studies
- User requirements engineering: personas, core tasks, prioritized user requirements
- Human-centered design engineering: information architecture, prototypes, UI design to HCRD standards
- Evaluation: usability tests, UX reviews, prioritized findings
- Field access through our own panels, for example agriculture and accessibility
Outcome
- Findings with their origin in observation or test
- Requirement catalogs, prototypes and designs
- A recommendation for the next decision
Stays with you
All results.
Stays with us
The tools we use in the project: analysis pipelines, the graph, prompts.
Pilot
Try rygg on your own context
You have seen rygg and want to work with it before committing. The pilot covers one use case: the shared picture of the enterprise, one product line, or one agent task.
- Term
- 4 to 8 weeks
- Pricing model
- Fixed price including evaluation license. Amounts on request.
Scope
- One slice of your context of use as a graph, built from the knowledge you already have, in whatever form: reports, studies, wikis, spreadsheets, interviews, plus a short additional study where needed
- Hosted instance with a query interface for your teams and an API for your agents
- Evaluation license for the pilot period
- Joint review at the end
Outcome
- A working graph for the slice
- Coverage report: which contexts of use are covered, which are missing
- Analysis of how teams and agents used the graph during the pilot
- A decision: subscription or stop
Stays with you
Your research results and the coverage report.
Stays with us
Code, ontology structure and pipeline, run as a hosted service.
Graph
Your context of use, maintained
Your organization runs research again and again. The knowledge stays in reports, and teams in engineering, product management and service ask the same questions again.
- Term
- Subscription, 12 months minimum
- Pricing model
- Setup fee plus annual subscription. Amounts on request.
Scope
- License for the managed ontology (L1)
- Context layers built from existing and new research, evaluation and evidence, with the origin of every statement
- Separation into industry-generic and company-specific parts
- Ongoing maintenance: add new studies, resolve contradictions, mark outdated statements
- Validation against HCRD standards with every update
- Access for your teams and agents through query interface and API
- Consulting as in Evidence, based on the model
Outcome
- A searchable model of your context of use
- Change log per release
- Coverage report
Stays with you
Company-specific content and research results. You license the use of the graph for agreed fields of application.
Stays with us
Engine, ontology structure, generic parts and method. We are accountable for the graph being correct and current.
Context Layer
rygg in operation, measured by results
You develop several products or variants in parallel and use AI agents in engineering, documentation or service. You want to buy a result, not hours.
- Term
- Framework agreement, 12 months minimum
- Pricing model
- Base fee plus bonus on agreed metrics, optional usage component for agent queries. Amounts on request.
Scope
- Operation, hosting and maintenance of the domain model
- Knowledge layer for AI agents: agents query the model instead of making assumptions
- Embedded Research & Design Engineers who take up new questions, clarify them in the field and feed the answers back into the model
- Ongoing evidence of conformity with HCRD standards for your products
- Quarterly review of the agreed metrics
Metrics you measure us by
- Coverage of contexts of use across your portfolio
- Time to standards evidence
- Use errors in usability tests before series launch
- Share of requirements traceable to research
Stays with you
The service and its results. An export scope for the end of the contract is agreed up front.
Stays with us
Source code and model structure.
Every step is a point where you can stop
- 01Starting pointA free session of about 45 minutes. We look at your use case and the knowledge you already have, show rygg on a sample graph and recommend the first step.
- 02Evidence or PilotEvidence if there is no usable research yet. Pilot if there is.
- 03GraphSubscription after a pilot your teams have used.
- 04Context LayerWhen agents are in productive use and metrics can be agreed.