Solutions

Build an evidence environment around the knowledge you already have.

Each area below can be approached on its own. Most engagements start with one collection, one question or one workflow.

Evidence Discovery

Problem: Relevant material exists but is spread across systems that do not talk to each other.
What Evidence Compass can provide: A single entry point for searching and surfacing candidate evidence across sources.
Possible data involved: Publication records, abstracts, full texts, guidance documents, internal reports.
Possible integrations: Bibliographic databases, document stores, intranets, existing search indexes.
Human role: Experts decide what is genuinely relevant and of sufficient quality.

Problem: It is hard to see what an evidence base covers — and where it is thin.
What Evidence Compass can provide: Structured maps across interventions, outcomes, populations, settings and sources.
Possible data involved: Coded study attributes, taxonomies, classifications, extraction tables.
Possible integrations: Review platforms, spreadsheets, statistical and coding workflows.
Human role: Experts define the dimensions and interpret the gaps.

Problem: Institutional knowledge sits in documents nobody can search meaningfully.
What Evidence Compass can provide: Structured extraction, metadata, classification and navigable document collections.
Possible data involved: PDFs, reports, guidance, minutes, internal documentation.
Possible integrations: Document management systems, SharePoint-style repositories, object storage.
Human role: Experts validate extraction and confirm what the document actually says.

Problem: New team members take months to learn where anything is.
What Evidence Compass can provide: Guided routes through an evidence base by topic, question or workflow.
Possible data involved: Topic structures, curated collections, relationships between records.
Possible integrations: Existing catalogues, reference managers, internal wikis.
Human role: Experts curate the routes and keep them current.

Problem: Evidence lives in spreadsheets that cannot be queried or maintained safely.
What Evidence Compass can provide: A properly modelled relational evidence database with clear versioning.
Possible data involved: Studies, interventions, outcomes, populations, locations, organisations.
Possible integrations: Existing databases, ETL pipelines, analysis tools, APIs.
Human role: Experts own the data model, definitions and quality rules.

Problem: Keyword search misses relevant material and returns too much noise.
What Evidence Compass can provide: Combined structured filtering, controlled vocabulary and semantic retrieval.
Possible data involved: Indexed text, metadata, synonyms, taxonomy terms.
Possible integrations: Search engines, vector indexes, existing portals.
Human role: Experts review results and refine the vocabulary over time.

Problem: Comparing studies or interventions is repetitive manual work.
What Evidence Compass can provide: Side-by-side structured comparison across selected dimensions.
Possible data involved: Comparable extracted fields, classifications, study characteristics.
Possible integrations: Review tools, analysis environments, export formats.
Human role: Experts judge comparability and interpret differences.

Problem: Complex evidence relationships are impossible to grasp as lists.
What Evidence Compass can provide: Maps, networks, dashboards and interactive views of the evidence structure.
Possible data involved: Entities, relationships, counts, categories, geography.
Possible integrations: BI tools, mapping services, reporting pipelines.
Human role: Experts decide what a visualisation may and may not imply.

Problem: Summaries circulate without a clear path back to their sources.
What Evidence Compass can provide: Persistent links from displayed information to source material and references.
Possible data involved: Citations, identifiers, document locations, extraction provenance, versions.
Possible integrations: DOI resolvers, repositories, archival storage.
Human role: Experts confirm that a claim is genuinely supported by its source.

Problem: Evidence and its users span several languages.
What Evidence Compass can provide: Multilingual interfaces and terminology handling across an evidence base.
Possible data involved: Translated interface strings, multilingual metadata, term mappings.
Possible integrations: Translation workflows, terminology management, review processes.
Human role: Native-speaker review before anything is published.

Problem: Evidence cannot be reused by other systems or teams.
What Evidence Compass can provide: Documented APIs and exports so evidence can flow where it is needed.
Possible data involved: Structured records, controlled vocabularies, identifiers.
Possible integrations: Internal services, partner systems, analysis environments, portals.
Human role: Experts define what may be exposed, to whom and under which conditions.

Problem: Preparing briefings and options takes longer than the decision itself.
What Evidence Compass can provide: Assembled, traceable evidence sets shaped around a real decision question.
Possible data involved: Curated collections, comparisons, provenance, notes.
Possible integrations: Document production, briefing workflows, collaboration tools.
Human role: People make the decision and carry accountability for it.