A good way to choose is to match the dashboard to the primary job you need it to do. Most teams end up needing one of three patterns:

1) Experiment comparison dashboard

Choose this if your main need is to compare model outputs, prompts, or experiment runs.

Best for

• A/B or multi-run comparisons
• Side-by-side output inspection
• Metric trends across experiments
• Fast iteration during development

Look for

• Filtering by run, model, dataset, prompt version
• Side-by-side result views
• Aggregated metrics and drill-down to examples
• Support for annotations or evaluator feedback
• Exportable results for reporting

Tradeoff

• Usually lightweight on governance and access control
• Best for analysis, not approvals or policy enforcement

2) Governance workflow dashboard

Choose this if you need approvals, review stages, or auditability.

Best for

• Human review and sign-off
• Compliance or risk review
• Tracking evaluation status across teams
• Audit trails for decisions and changes

Look for

• Workflow states like draft → review → approved → released
• Reviewer assignment and comments
• Version history and change logs
• Escalation or exception handling
• Audit-friendly reporting

Tradeoff

• Can be slower to use for rapid experimentation
• May be more process-heavy than researchers want

3) Permission-control dashboard

Choose this if different teams need different access levels.

Best for

• Regulated environments
• Multiple teams sharing the same platform
• Protecting sensitive data, prompts, or outputs
• Limiting who can view, edit, or approve

Look for

• Role-based access control
• Project/workspace-level permissions
• Dataset or experiment-level restrictions
• SSO / identity integration
• Activity logs and access audits

Tradeoff

• Strong security features may add admin complexity
• May not include deep experiment analytics by itself

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How to decide

Use these questions:

If your top priority is:

• “Which model/prompt performed better?” → experiment comparison
• “Who approved this and when?” → governance workflow
• “Who can see or change this?” → permission controls

If you need more than one

Many teams combine them:

• Researchers use experiment comparison
• Reviewers/managers use governance workflows
• Admins/security use permission controls

If you need a single platform, prioritize in this order:

1. Permissions if you handle sensitive or regulated data
2. Governance if deployments require approval
3. Comparison if you’re still iterating quickly

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Practical selection checklist

Ask each vendor/tool:

• Can I compare runs side by side?
• Can I assign reviewers and capture approvals?
• Can I restrict visibility by role, team, or project?
• Does it keep an audit log?
• Can I export results and decisions?
• Does it integrate with my identity provider?

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Simple rule of thumb

• Early-stage experimentation: choose comparison
• Production/release process: choose governance
• Enterprise/regulatory environment: choose permissions first, then governance

If you want, I can also turn this into a decision matrix or help you pick for a specific stack or toolset.