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Experiment Dashboard

The Experiment Dashboard replaces the traditional kanban board with an outcomes-oriented interface. Instead of tracking task status, it answers the question: which experiments worked and why? Three views serve different levels of detail:

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Timeline View

The Timeline is the main dashboard — the first thing you see when you click Experiments in the sidebar. It shows all experiments for the currently selected initiative, sorted by date or impact.

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Experiment Cards

Each experiment appears as a card showing:

• Name and creation date
• Source type icon — research resource, hypothesis, incident, or recommendation
• Status badge — Configure, In Progress, Complete, or Validated
• Target metric and observed delta (color-coded: green positive, red negative, gray pending)
• Tags for grouping

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Metric Trend Chart

A line chart at the top tracks your target metric across completed experiments. This is the “are we getting better?” view — a visible trend line showing improvement (or lack thereof) over time. The chart is collapsible. When collapsed, trend values remain visible in the summary bar.

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Filtering and Search

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Creating an Experiment

Click New Experiment in the top-right corner. The create form supports multiple source modes: After creation, you’re redirected to the experiment detail page.

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Detail View

The Detail view shows the full lifecycle of a single experiment. It’s a two-column layout: main content on the left, metadata and links in the right sidebar.

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Main Content

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Origin Section

For research-sourced experiments, the Origin section shows the launch context:

• Resource title with link to the resource viewer
• Abstract excerpt — one-sentence summary (editable inline)
• Key methods — technique badges extracted from the resource (add/remove inline)
• Target repository — the repo where the implementation lands (change triggers context rebuild)
• Implementation plan — AI-generated plan referencing actual file paths (collapsible, editable, regeneratable)
• Docker image — reference to the pre-built environment (when available)

Every field is click-to-edit. Changing the target repo triggers a rebuild-context call that re-fetches the repo file tree and regenerates the implementation plan. For hypothesis-sourced experiments, the Origin section shows the hypothesis text.

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Analysis Section

Combined Hypothesis and Decision in a single card:

• Hypothesis: The team’s prediction, shown at the top
• Decision: Logged after results are in. Includes the decision text, author, and timestamp. Click to edit.

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Implement Section

A compact bar showing how to implement via Claude Code:

• Copy-paste command to run Claude Code with the Remyx MCP connection
• Link to the Integrations page for setup

When a PR exists, a green banner appears at the top of the page with the PR title, status, and link.

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Activity Feed

A unified chronological feed combining:

• Comments with @mention support (powered by Tribute.js), edit/delete
• System events from the knowledge graph (experiment created, status changed, decision logged, PR opened)

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Sidebar

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Linked Resources

The Resources section shows all external artifacts connected to this experiment:

• GitHub PR: Link and status, auto-synced via webhooks
• Linear / Jira ticket: Link and status, auto-synced via webhooks
• Target repo: The implementation repository
• Dataset: Link to dataset used for evaluation
• Tracking run: Link to MLflow or other experiment tracking
• Custom links: Any other URL with a label

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Portfolio View

The Portfolio view is designed for leadership — people who need to see all initiatives at a glance without diving into individual experiments.

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Initiative Cards

Each initiative appears as a row showing: Click any row to switch project context and navigate to that initiative’s Timeline.

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Creating Initiatives

Click Create Initiative to set up a new project. This redirects to Project Settings where you configure:

• Initiative name and description
• Allowed metrics (dropdown options for experiments in this initiative)
• Linked GitHub repos
• Linear project connection
• Data sources
• A/B testing provider

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Insights View

Navigate to Insights in the sidebar to see cross-experiment patterns for the current initiative.

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Pattern Clusters

Each cluster appears as a collapsible row: Expand a cluster to see:

• Experiment list: Each experiment with its delta, status, and decision summary
• Recommended resources: Research-backed next steps matched to this direction

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Starting from a Recommendation

Each recommended resource has a Start Experiment button. Clicking it creates a new experiment with:

• The resource linked as the source
• The cluster’s tag pre-filled
• The current initiative selected

This is the fastest path from pattern insight to next experiment.

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Keyboard Shortcuts

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Next Steps