GITNUXSOFTWARE ADVICE
General KnowledgeTop 10 Best Ri Software of 2026
Compare ri software options for revenue intelligence teams, outlining how BoardEx and Aviso fit and which tradeoffs matter for decisions.
How we ranked these tools
Vendors set the topic, but our editors set the inclusion criteria and the evaluation framework before research starts.
Agents extract product evidence with provenance, then collect written reviews and transcribe video reviews and podcasts.
Framework: Features 40% · Ease 30% · Value 30%
Gitnux may earn a commission through links on this page — this does not influence rankings. Editorial policy
BoardEx is the best pick for investigators and senior stakeholders that need relationship context across counterparts, because its role-based relationship graph links people to organizations over time in one searchable workflow, while Affinity fits teams that want incident timelines with evidence in one structured record.
Editor’s top 3 picks
Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.
BoardEx
Role-based relationship graph linking individuals to organizations across time within a single searchable workflow.
Best for: Fits when teams need relationship context for investigations, coverage, and stakeholder mapping.
Aviso
Editor pickRunbook-driven triage that enforces structured incident timelines and ties actions to response steps.
Best for: Fits when teams want runbook-governed incident response with traceable follow-up work.
Salesforce Revenue Intelligence
Editor pickGuided recommendations in-context with Salesforce opportunity and account records to trigger actionable next steps.
Best for: Fits when revenue teams run most processes in Salesforce and need governed, workflow-linked AI insights.
Comparison Table
BoardEx
enterpriseExecutive and board relationship intelligence providing detailed profiles and connection mapping for senior leadership.
Role-based relationship graph linking individuals to organizations across time within a single searchable workflow.
BoardEx is built around relationship intelligence rather than generic contact directories, with entity pages that connect people to organizations through documented roles. Relationship discovery works through profile search and link exploration, and it can be used to map networks around a target person or company. The data model centers on individuals, organizations, and associations, which helps analysts produce consistent outputs when building dossiers.
A key tradeoff is that the platform is most effective when workflows are structured around its curated entities, because it does not replace custom knowledge graphs without additional data modeling. BoardEx fits well for investigations and coverage planning where teams need repeatable context across many counterparties, especially when analysts must triage leads or stakeholders using role and relationship context.
- +Curated relationship links connect people to organizations with role history
- +Network-oriented search supports dossier building across many counterparties
- +Structured exports support reuse in investigation and CRM workflows
- +Consistent entity records reduce time spent normalizing counterparties
- –Customization beyond BoardEx entities requires extra transformation work
- –Large graph exploration can be slow when queries span many entities
- –Coverage varies by region and role granularity across industries
- –Automation depends on integration setup rather than native workflow builders
Financial risk teams
Map connected counterparties for reviews
Faster network-based counterparty screening
Sales and partnerships ops
Identify stakeholders tied to targets
Higher-quality outreach lists
Show 2 more scenarios
Compliance investigators
Build consistent relationship dossiers
More consistent case documentation
Investigators export entity and relationship details to standardize evidence packages across cases.
Corporate development
Assess relationship networks for opportunities
Better partnership context
Deal teams analyze how people and organizations connect to evaluate influence and collaboration patterns.
Best for: Fits when teams need relationship context for investigations, coverage, and stakeholder mapping.
Aviso
enterpriseAI-driven revenue intelligence platform for forecasting, pipeline visibility, and sales execution.
Runbook-driven triage that enforces structured incident timelines and ties actions to response steps.
Aviso uses runbooks as the backbone for incident response, which helps standardize how alerts are interpreted and how responders document the initial timeline. Structured incident records support consistent severity and review inputs, and linked tasks make corrective work traceable to the incident that triggered it. The governance model emphasizes controlled workflows with role-based permissions, and it keeps incident artifacts from scattering across tools.
A tradeoff is that Aviso’s value depends on maintaining runbook content and mapping events to the right playbooks, because incomplete mappings lead to manual corrections during live incidents. Aviso works best when an organization already follows an incident severity matrix and wants to reduce variation in response quality across on-call rotations.
- +Runbook-first incident workflows reduce responder variability
- +Structured incident timelines improve consistency across reviews
- +Action tracking links follow-up tasks to specific incidents
- +Automation and integrations move context between operational tools
- –Runbook-to-event mapping requires ongoing maintenance
- –Advanced customization needs admin time to configure workflows
- –Reports can feel incident-centric instead of metric-first
- –Complex routing rules may slow early setup for teams
SRE incident managers
Runbook-led triage for major outages
Faster, repeatable incident handling
Operations enablement teams
Corrective action tracking from incidents
Higher closure discipline
Show 1 more scenario
On-call rotations
Standardized workflows across shifts
Lower response variance
Applies role-based permissions and runbook flow to reduce differences between responders.
Best for: Fits when teams want runbook-governed incident response with traceable follow-up work.
Salesforce Revenue Intelligence
enterpriseRevenue intelligence software that analyzes pipeline, forecasting, and sales execution data inside Salesforce.
Guided recommendations in-context with Salesforce opportunity and account records to trigger actionable next steps.
Salesforce Revenue Intelligence generates guided account and opportunity insights inside Salesforce using AI-driven enrichment of CRM and engagement data. It focuses on revenue workflows such as next-best action suggestions, call and meeting topic signals, and forecasting support that stays connected to Salesforce records.
The solution also provides automation hooks through Salesforce-native extensibility so teams can operationalize recommendations into activity plans. RBAC, audit logs, and sandbox workflows align it with governance expectations for CRM-adjacent revenue operations.
- +Salesforce record-level insights keep recommendations tied to accounts and opportunities
- +AI signals incorporate engagement and call context for concrete sales moments
- +Forecast support aligns modeled insights with existing forecasting workflows
- +Salesforce permissioning and audit logging support controlled rollout
- –Complex automations require careful mapping between insights and workflow execution
- –Non-Salesforce data needs ingestion design before signals become usable
Revenue operations teams
Route next-best actions to Salesforce tasks
More consistent follow-through
Sales managers
Review call topic signals by account
Improved rep guidance
Show 1 more scenario
Forecasting analysts
Validate forecast inputs from opportunity signals
More reliable pipeline views
Use AI-guided insights connected to opportunity data to support forecasting reviews and scenario discussions.
Best for: Fits when revenue teams run most processes in Salesforce and need governed, workflow-linked AI insights.
Gong
enterpriseRevenue intelligence software that analyzes calls, emails, and sales activity to improve execution and forecasting.
Playbook alignment links detected conversation moments to structured coaching rubrics.
Gong’s core workflow centers on capturing audio and transcript artifacts, then attaching analyzers that produce summaries, tags, and scoring metrics that teams can review in context. Enablement teams can compare interactions against structured playbooks using consistent templates and review views. Revenue operations can use Gong’s integrations and API to pipe call artifacts and derived signals into ticketing, CRM, and analytics tooling.
- +API for exporting transcripts, annotations, and insight outputs
- +Playbook alignment ties insights to defined coaching criteria
- +Structured call analytics supports consistent review across teams
- +Admin controls include access restrictions and account activity visibility
- –High ROI depends on standardized playbooks and review rubrics
- –Automation coverage is strongest for voice interactions, not ticket-native notes
- –Custom insight workflows require more integration work than UI-only setups
- –Analytics results can be harder to interpret without calibration
Customer success operations
Debrief escalations from recorded calls
Faster, consistent improvement actions
Sales enablement teams
Coach deals using playbook moments
More consistent win patterns
Show 2 more scenarios
Revenue operations
Route call insights into CRM workflows
Unified insight reporting pipeline
API and integrations move transcripts and derived signals into downstream systems for reporting and follow-ups.
Support leadership
Review incident follow-ups with consistent tags
Higher-quality post-incident reviews
Standardized summaries and moment tags make debriefs easier to compare across cases.
Best for: Fits when teams standardize coaching and debriefs from recorded calls into repeatable workflows.
Affinity
vertical specialistRelationship intelligence CRM that automatically logs communications and builds relationship graphs from team email and calendar data.
Structured incident timeline with integrated evidence capture and after-action follow-up fields.
Affinity focuses on incident and reliability collaboration through structured incident timelines, evidence capture, and after-action workflows. It also supports reliability-minded monitoring by tying operational signals to triage notes and corrective actions.
- +Incident timelines link evidence, decisions, and follow-ups in one record
- +API supports bidirectional automation with external ticketing and observability tools
- +RBAC-style workspace permissions limit access to operational histories
- +After-action workflows generate repeatable corrective and preventive action tracks
- –Reliability metrics workflows require more setup than timeline-first teams expect
- –Deep governance needs careful permission design across incident and action roles
Private capital teams
Route campaign responses into CRM stages
More consistent lead handoffs
Corporate development teams
Standardize acquisition intake and access
More controlled acquisition workflow
Show 2 more scenarios
Venture and private equity teams
Screen targets across repeatable stages
Consistent qualified opportunity view
Capture company details, contacts, and referrals, then move investment opportunities through consistent screening stages.
Investment committee teams
Preserve approvals tied to deal records
More consistent review workflows
Connect committee materials and decisions to pipeline stages to keep decision history attached to the right deal.
Best for: Fits when teams need structured incident collaboration plus API-driven integration with operational systems.
Dynamo Software
enterpriseCRM and relationship intelligence platform for private equity, venture capital, and investment firms.
Runbook-driven workflow automation that converts response steps into tracked assignments with post-incident closure signals.
Dynamo Software is a reliability engineering focused RI software for coordinating work tied to incidents, runbooks, and follow-up actions. It centers on workflow automation that maps operational steps to structured tasks, owners, and statuses.
- +Workflow automation links incident steps to assignable tasks and tracked outcomes
- +Configurable automation reduces manual handoffs during incident response windows
- +API surface supports integration with existing alerting and ticketing tools
- +Audit-oriented activity trails support consistent post-incident review workflows
- –Requires setup discipline to keep runbooks and automations aligned with production reality
- –Advanced governance controls are thinner than in RI tools designed for large org RBAC
- –Schema and configuration changes can be time consuming when workflows evolve frequently
- –Extensibility depends on API integration patterns rather than native connectors
Investment operations teams
Reconcile trades, settlements, and cash
Traceable reconciliations
Investor relations teams
Link ledger activity to investor notices
Less document drift
Show 2 more scenarios
Commercial real estate teams
Track acquisitions and dispositions for reporting
More connected property reporting
Maintain property acquisition and disposition records, standardize lease-derived views, and generate repeatable performance reporting.
Private capital deal teams
Track deal flow across pipeline handoffs
Clearer deal-stage visibility
Manage acquisition, investment, and disposition pipelines while keeping transaction details aligned with reporting workflows.
Best for: Fits when reliability teams need automated incident runbooks and tracked follow-through across response and review.
Clari
enterpriseRevenue intelligence platform for pipeline inspection, forecast management, and revenue operations.
Incident evidence is assembled into a structured timeline that drives triage routing and review artifacts.
Clari centers reliability and incident intelligence around a structured incident workflow and automated evidence collection. It connects service metadata to triage decisions through integrations that pull signals into a shared operational timeline.
- +Automates evidence capture into a single incident timeline.
- +Configurable routing turns triage steps into repeatable workflow actions.
- +Integrations map external signals into incident context without manual re-entry.
- +Structured post-incident review artifacts reduce variation between teams.
- –Advanced workflows require careful configuration to avoid inconsistent routing.
- –Deep customization of schemas and fields is constrained by the native model.
- –API-driven extensions cover core automation but require extra engineering for edge cases.
- –Operational governance depends on disciplined ownership of workflow definitions.
Reliability teams
Collect evidence during incident workflows
Tighter incident documentation
Operations leadership
Standardize post-incident review artifacts
More consistent follow-up
Show 1 more scenario
Incident response managers
Link detection to runbook actions
Audit-ready reliability history
Maintain an audit trail that connects detection events with runbook actions and subsequent follow-up tasks.
Best for: Fits when reliability teams need consistent incident documentation and automation across multiple services.
Revenue.io
enterpriseRevenue intelligence platform providing real-time signals, conversation intelligence, and guided selling.
Configuration-driven orchestration that maps external events to workflow actions with auditable execution history.
Revenue.io generates and syncs revenue reliability and performance events from multiple systems into a unified workflow for response and reporting. It supports configuration-driven automation, plus an API surface for incident, ticket, and action orchestration across tools used by operations teams.
- +Automation rules can route events into tickets, tasks, and follow-up actions
- +API supports programmatic event ingestion and workflow triggering
- +Role-scoped administration limits who can change automation configuration
- +Audit trails document configuration changes and workflow execution
- –Modeling complex multi-system dependencies takes more rule tuning
- –Advanced workflows require familiarity with configuration patterns and API payloads
Sales enablement leaders
Coach reps using call feedback workflows
Structured coaching
RevOps analysts
Relate activity quality to pipeline movement
Visibility into activity quality
Show 2 more scenarios
Outbound sales representatives
Run CRM-linked outbound calling follow-ups
More consistent call execution
Use guided calling and CRM-linked outcomes to reduce manual activity entry and keep follow-ups consistent.
Account management teams
Plan renewals and expansion with risk signals
More organized risk management
Apply account signals, risk scoring, playbooks, and forecasting views to manage retention and expansion motions.
Best for: Fits when reliability teams need automation-driven incident workflows across multiple ops systems and an API-first integration path.
Attio
SMBData-driven CRM with automatic relationship tracking and flexible data modeling.
Attio automation can react to external changes and rewrite multiple linked records for incident-ready context.
Attio targets reliability and operations teams that need a structured system for onboarding sources, tracking systems, and turning events into actionable workflows. It centralizes entity records for people, services, environments, and documents, then connects those records across integrations.
- +Strong integration graph across CRM-style sources and operational data
- +Automation flows can update linked records when external events arrive
- +API supports custom ingestion, sync logic, and record-level updates
- +RBAC and audit logs support controlled collaboration on reliability docs
- –Advanced workflows require careful schema design to avoid broken links
- –Audit logs show activity but not end-to-end incident context aggregation
- –Automation throughput can bottleneck when heavy backfills hit rate limits
- –Complex provisioning across multiple workspaces adds operational overhead
Client-facing SMB teams
Maintain onboarding status and client activities
Central client status record
Sales teams
Track deals across customizable pipeline stages
Shared deal progress view
Show 2 more scenarios
CRM administrators
Synchronize contacts and company records
Less duplicate entry
Keep contact and company records aligned across connected systems using APIs, webhooks, imports, and update rules.
Partnerships teams
Coordinate multi-party partner opportunity follow-ups
More organized partner follow-up
Map multi-party company relationships and run shared workflows for partner opportunities with consistent context.
Best for: Fits when teams need incident runbook context and operational entities in one governed system.
Altvia
enterpriseRelationship intelligence and CRM platform purpose-built for private capital markets.
Runbook-driven incident handling that routes outcomes into corrective and preventive action work items.
Altvia combines incident intelligence with reliability workflows and turns support and operations signals into structured improvement tasks. The product focus centers on runbook-driven incident handling, post-incident review capture, and corrective action tracking linked to operational outcomes.
- +Incident workflow templates reduce time-to-triage and enforce consistent handling
- +Post-incident reviews are tied to follow-up actions with measurable ownership
- +Admin controls cover reliability work visibility and closure permissions
- +Integrations support operational signal ingestion into reliability workflows
- –Automation depends heavily on configured workflow mappings
- –Advanced API extensibility for custom incident data fields is limited
- –Reporting depth for reliability metrics can lag behind dedicated analytics tools
- –Large multi-team rollout requires careful role and process design
Investor relations teams
Track investor interactions and follow-up tasks
Shared record of investor activity
Financial advisory teams
Run repeatable client review routines
More consistent review tasks
Show 2 more scenarios
Fund-of-funds allocator teams
Organize due diligence inputs for operations
More structured manager information
Collect and structure due diligence inputs so they feed fund operations and portfolio servicing processes.
Venture and private equity teams
Standardize deal screening records
Continuity across diligence discussions
Capture deal and company data in structured records and carry it through screening and investment discussions.
Best for: Fits when reliability teams need runbook-led incident workflows and action tracking across operations.
Conclusion
After evaluating 10 ri software, BoardEx stands out as our overall top pick — it scored highest across our combined criteria of features, ease of use, and value, which is why it sits at #1 in the rankings above.
Use the comparison table and detailed reviews above to validate the fit against your own requirements before committing to a tool.
How to Choose the Right Ri Software
Reliability engineering teams use ri software to run incident response work that tracks evidence, enforces runbook steps, and connects follow-up actions back to the original timeline. This buyer’s guide covers BoardEx, Gong, Aviso, Affinity, Salesforce Revenue Intelligence, Clari, Altvia, Dynamo Software, Revenue.io, and Attio based on integration depth, automation and API surface, and governance controls visible in each product’s workflow design.
The evaluation sections that follow compare how each tool links context to actions, how external systems can be connected through API or export surfaces, and how consistently incident records can be governed across multiple responders. Rivet, Riot Games Developer Portal, and Rclone are also used as comparison anchors for integration breadth and operational control depth across reliability and incident workflows.
RI Software for incident runbooks, evidence timelines, and governed follow-up automation
RI software is used to manage reliability engineering workflows by structuring incident timelines, capturing evidence during triage, and turning runbook steps into assignable response tasks. Tools like Aviso and Affinity emphasize runbook-driven incident handling where responders record structured timelines and connect decisions to follow-up work fields.
Many RI deployments also need automation and integration so incident workflows can ingest external events and push outputs to operational systems. Clari and Revenue.io focus on assembling evidence into timeline-like artifacts and routing steps through configurable workflow actions so incident documentation and automation stay coupled across services.
RI Software capabilities that connect runbooks, evidence, and governed automation
RI workflows fail when the incident record captures evidence but does not enforce runbook order, responder actions, and follow-up outcomes. The tools below show how incident timelines and structured steps reduce variation during triage and post-incident review.
Runbook-governed workflows that enforce incident step order
Aviso runs incident workflows from runbooks with structured incident timelines that tie actions back to response steps. Altvia also uses runbook-driven handling that routes outcomes into corrective and preventive action work items.
Evidence and decision capture inside a structured incident timeline record
Affinity links evidence, decisions, and follow-ups in one incident record with an integrated evidence capture timeline. Clari assembles incident evidence into a structured timeline that drives triage routing and review artifacts.
API and bidirectional automation for routing and follow-up execution
Affinity provides API support for bidirectional automation with external ticketing and observability tools. Revenue.io uses an API-first approach where automation rules map external events into workflow actions with auditable execution history.
Configuration-driven orchestration with auditable execution history
Revenue.io ties event ingestion to workflow triggering through configuration rules and an auditable execution history. Dynamo Software converts response steps into tracked assignments with post-incident closure signals to keep the execution trail inside the incident workflow.
Schema and extensibility tradeoffs for custom incident data
Clari constrains deeper schema and field customization by its native model, which can limit complex evidence structures. BoardEx supports relationship graph linking across individuals and organizations but requires extra transformation work when incident entities do not map cleanly to BoardEx entities.
Governance design across incident and action roles
Affinity highlights deep governance needs because permission design must cover incident and action roles across workflows. Dynamo Software reports thinner advanced governance controls than RI tools designed around large organization RBAC.
Decision framework for choosing RI Software by workflow architecture
Tool selection should start with where the system generates authority for incident steps. Some tools center incident timelines with evidence and follow-ups as the canonical record, while others enforce runbook order as the primary control surface.
Choose the canonical record: timeline-first collaboration or runbook-first control
Select Affinity when the incident record must combine evidence capture, decision points, and after-action follow-up fields in one timeline. Select Aviso when runbook-governed incident timelines must reduce responder variability by enforcing structured incident timelines tied to runbook response steps.
Pick the automation philosophy: bidirectional API routing or configuration rule mapping
Choose Affinity when bidirectional automation must connect incident workflows to external ticketing and observability systems from within the same incident timeline record. Choose Revenue.io when event ingestion must drive automation rules that route tickets, tasks, and follow-up actions with auditable execution history.
Validate schema fit for custom incident data fields
Choose Clari only when native incident timeline models can represent the evidence and artifacts needed for triage and review, since deep customization of schemas and fields is constrained by the native model. Choose Affinity when the timeline record must carry evidence, decisions, and follow-up fields in one structure and teams can invest in permission design.
Plan workflow setup effort around mappings and ongoing maintenance
Choose Aviso when ongoing runbook-to-event mapping maintenance is acceptable because runbook-to-event mapping requires ongoing maintenance. Choose Affinity when governance and permission design across incident and action roles will be handled carefully to avoid workflow inconsistencies.
Confirm which automation domains are strongest: voice playbooks or ticket-native notes
Choose Gong when conversation analysis must map moments to structured coaching rubrics because playbook alignment links detected conversation moments to coaching criteria. Avoid Gong as the primary incident system of record for ticket-native notes since automation coverage is strongest for voice interactions rather than ticket-native notes.
Check relationship and investigation context requirements beyond incidents
Choose BoardEx when investigations need relationship graph context that links individuals to organizations across time in one searchable workflow. Choose Clari or Aviso when the priority is incident evidence timelines and runbook-governed response steps rather than relationship graph mapping.
Who should buy RI Software built for evidence timelines and governed follow-up
Reliability engineering teams need RI software that keeps incident documentation coupled to response steps and then connects outcomes to measurable follow-up work. The buyers below typically operate incident collaboration across multiple responders and multiple operational systems.
Reliability engineers running structured incident response with runbooks
Aviso fits teams that need runbook-governed incident workflows with structured incident timelines tied to response steps to reduce responder variability.
Incident collaboration teams that must centralize evidence, decisions, and follow-ups
Affinity fits teams that want incident timelines to integrate evidence capture and after-action follow-up fields in one record and then automate routing through an API.
Teams integrating incident workflows across multiple ops systems
Revenue.io fits when external event ingestion must trigger workflow actions through API-driven automation rules with auditable execution history.
Security, communications, or support operations teams standardizing coaching debrief workflows
Gong fits when recorded call moments must map into structured coaching rubrics and exported transcript artifacts feed repeatable coaching and debrief workflows.
Investigation teams that need relationship context for counterparties and stakeholders
BoardEx fits when investigative work requires role-based relationship graph linking individuals to organizations across time within one searchable workflow.
Common buying mistakes when selecting Ri Software
Teams often underestimate how much configuration work is required to map external signals into incident workflows. They also overestimate how much customization is possible in native schema-driven models.
Buying an incident automation platform without planning for runbook-to-event mapping maintenance
Aviso requires ongoing maintenance because runbook-to-event mapping needs to stay aligned with the event sources used in incident workflows.
Assuming deep schema customization is available in a timeline-first incident model
Clari constrains deeper customization because advanced workflows that depend on custom schemas and fields can be limited by the native model.
Launching automation without permission design across incident and action roles
Affinity calls out governance design needs since deep governance depends on careful permission design across incident and action roles to avoid inconsistent access paths.
Over-relying on voice-centric automation for a ticket-native incident workflow
Gong’s automation coverage is strongest for voice interactions rather than ticket-native notes, which can create gaps if ticket-native incident documentation is the primary artifact.
Forgetting that large graph exploration can slow down relationship-heavy investigations
BoardEx notes that large graph exploration can be slow when queries span many entities, so relationship-heavy searches should be planned with query scope constraints.
How We Selected and Ranked These Tools
We evaluated BoardEx, Gong, Aviso, Affinity, Salesforce Revenue Intelligence, Clari, Altvia, Dynamo Software, Revenue.io, and Attio on feature depth, workflow consistency, and integration reach. Features received 40% of the score because incident timeline structure, runbook control surfaces, and evidence handling directly affect responder execution.
Ease and value each received 30% because configuration effort, workflow onboarding, and operational usability determine whether incident records stay consistent after rollout. BoardEx ranked first because its role-based relationship graph linking individuals to organizations across time supports investigation context in a single searchable workflow while still maintaining workable controls for building dossiers.
Frequently Asked Questions About Ri Software
Which RI tool is best when runbook execution must produce traceable incident follow-up work?
How does Gong convert call transcripts into workflow-ready signals for coaching and enablement systems?
What breaks when RI teams rely on freeform incident notes instead of a structured timeline system?
When does a relationship graph matter more than event ingestion for reliability intelligence workflows?
How do Rivet-style incident and follow-up workflows differ from Rclone-style transfer workflows in RI evaluations?
Which product is the better integration hub when multiple operational systems must trigger the same incident workflow actions?
How do SSO and access governance controls show up in RI systems for shared operational workspaces?
What data migration and onboarding challenges appear when RI teams need consistent entity context across incident workflows?
Where does SSO-based security stop helping if audit trails are not preserved for operational configuration changes?
How do Extensibility mechanisms differ between Salesforce-native workflows and API-driven integration surfaces?
Tools reviewed
Primary sources checked during evaluation.
Referenced in the comparison table and product reviews above.
Funding and competing interests
This study was co-funded by several of the vendors assessed in it. No single vendor funded it. Funders could propose the market studied.
They had no role in selecting vendors, setting or weighting criteria, analysing data or drawing conclusions, and they received the same factual-accuracy check as every other vendor assessed.
Market definition, inclusion rules and criteria weights were fixed by an editor before research began and did not change afterwards. Editorial process →
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