> ## Documentation Index > Fetch the complete documentation index at: https://docs.remyx.ai/llms.txt > Use this file to discover all available pages before exploring further. # Experiment Dashboard > Track experiment outcomes, explore the full lifecycle of every experiment, and monitor project health # 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: | View | URL | Who it's for | What it shows | | ------------- | ------------------------ | ------------------------------- | ------------------------------------------------ | | **Timeline** | `/experiments` | Engineers, team leads | All experiments for a project with metric trends | | **Detail** | `/experiments/` | Anyone working on an experiment | Full lifecycle of a single experiment | | **Portfolio** | `/experiments/portfolio` | Leadership, team leads | All projects at a glance | *** ## 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 project, sorted by date or impact. ### 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 ### 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. ### Filtering and Search | Control | What it does | | ------------------ | ---------------------------------------------------------------------------- | | **Search bar** | Instant filtering by name, hypothesis, project, or tags | | **Status chips** | Filter by All / Configure / In Progress / Complete / Validated (with counts) | | **Source filters** | Toggle by source type | | **Sort** | By date (newest first) or by impact (largest delta first) | ### Creating an Experiment Click **New Experiment** in the top-right corner. The create form supports multiple source modes: Search for a paper, repo, or model by title. Remyx autocompletes from its resource index. The resource is linked as the experiment source, and a [launch context](/resources/dashboard#origin-section) is built automatically when you open the detail page. Fields: Name, Resource (search), Hypothesis, Target metric, Tags, Target repository. Start from your own idea. No resource link required. Fields: Name, Hypothesis, Target metric, Tags. After creation, you're redirected to the experiment detail page. *** ## 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. ### Main Content #### 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. #### 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. #### 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. #### 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) ### Sidebar | Section | Contents | | ----------------------- | ---------------------------------------------------------------- | | **Status** | Dropdown: Configure → In Progress → Complete → Validated | | **Metric** | Target metric dropdown, observed delta, confidence | | **Resources** | Linked artifacts: PR, ticket, repo, dataset, tracking run, other | | **Related Experiments** | Bidirectional linking with cross-project search | | **Project** | Project context from project settings | | **Tags** | Editable tag list | ### 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 ***

Portfolio View

The Portfolio view is designed for leadership — people who need to see all projects at a glance without diving into individual experiments. ### Project Cards Each project appears as a row showing: | Column | What it shows | | ---------------- | --------------------------------------------------------------------- | | **Name** | Project name (e.g., "Customer Support AI") | | **Status** | Health dot: green (on track), yellow (needs attention), red (stalled) | | **Experiments** | Total count | | **Hit Rate** | Bar showing positive / total completed experiments | | **Metric Trend** | Sparkline showing target metric over time | | **Delta** | Overall metric change (e.g., "34% → 52%") | | **Focus** | Most common tags from recent experiments | Click any row to switch project context and navigate to that project's Timeline. ### Creating Projects Click **Create Project** to set up a new project. This redirects to **Project Settings** where you configure: * Project name and description * Allowed metrics (dropdown options for experiments in this project) * Linked GitHub repos * Linear project connection * Data sources * A/B testing provider ***

Insights View

Navigate to **Insights** in the sidebar to see cross-experiment patterns for the current project. ### Pattern Clusters Each cluster appears as a collapsible row: | Element | Description | | -------------------- | ------------------------------------------ | | **Tag name** | The grouping tag (e.g., "retrieval") | | **Signal badge** | HIGH (green), LOW (red), or MIXED (yellow) | | **Hit rate** | "5 of 5 positive" | | **Avg delta** | Average observed improvement | | **Experiment count** | Number of experiments in this cluster | 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 ### 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 project selected This is the fastest path from pattern insight to next experiment. *** ## Keyboard Shortcuts | Shortcut | Action | | -------- | ---------------------------- | | `/` | Focus the search bar | | `n` | Open the New Experiment form | | `Esc` | Close modals and edit modes | *** ## Next Steps Connect GitHub, Linear, Jira, Slack, and Claude Code The methodology behind the dashboard Automate experiment workflows via MCP REST API documentation