Scoring Scale: 0–100 Points
We evaluate both project and product management tools using consistent, transparent criteria. Scores reflect practical performance, not marketing.
Evaluation Criteria & Weights
Brand-agnostic: Scores are derived from product capabilities and evidence, not vendor reputation.
Core Capability Fit
25 points- PM/PMM use case coverage: planning, delivery, discovery, analytics
- Depth of workflows: epics/roadmaps/Gantt; feedback/PRD/prioritization
- Evidence of outcomes: case studies, measurable impact
AI Quality & Integration
20 points- Planning from prompts, risk prediction, workload/capacity, automation
- Transformations: summarization, extraction, transcription, classification
- Embedded in core workflows with explainability and reliability
Ecosystem & Integrations
15 points- Depth/breadth of integrations (Jira, GitHub, Slack, CRM, data)
- APIs, webhooks, SCIM/SSO, import/export and data ownership
- Automation surface: triggers, actions, extensibility
User Experience & Adoption
15 points- Ease of use for Small/Mid/Large teams; performance and reliability
- Onboarding quality: templates, tutorials, academy, docs
- Admin manageability and real-world adoption signals
Governance & Trust
10 points- Security and compliance (SOC 2, ISO 27001, HIPAA, GDPR, FedRAMP)
- Controls: RBAC, audit, SSO/SCIM/MFA, encryption
- Transparency: uptime history, incident disclosures
Value for Money
15 points- Free tier usefulness and fairness
- Paid tier affordability per user/usage
- Total cost to achieve typical outcomes
Review Process
- Hands-on testing with realistic PM/PMM workflows
- Scenario evaluation (planning, delivery, discovery, analytics)
- Documentation and ecosystem check
- Scoring, with quarterly re-verification and date-stamped updates
The "Last verified" date on each page indicates when details were most recently checked.
Lifecycle Areas Where AI Accelerates PM Work
- Planning from prompts: generate milestones, tasks, dependencies
- Requirement authoring: PRDs, acceptance criteria, user stories
- Risk and schedule prediction: deadline risk, capacity balancing
- Automations: rules, integrations, webhook-driven workflows
- Insights and reporting: status summaries, anomaly detection
- Research and feedback: clustering, tagging, summarization
- Knowledge ops: search, Q&A, transcription, extraction
Editorial Independence
- Scores are based on criteria above; sponsorships don’t affect ratings
- Affiliate links, if present, are clearly disclosed
- We update scores as tools improve or change
Questions?
Have questions about a score or want to suggest a re-evaluation?