> ## Documentation Index
> Fetch the complete documentation index at: https://docs.usefluency.com/llms.txt
> Use this file to discover all available pages before exploring further.
# Work Explorer: Map Every Workflow Across Your Enterprise
> Automatically discover and map every workflow in your organization. Surface bottlenecks, cycle times, rework rates, and handoff patterns in real time.
Work Explorer is the discovery engine at the heart of Fluency. It automatically captures workflow activity across your organization and synthesizes it into structured process maps — giving you a living picture of how work actually happens, not how it's supposed to happen.
## What Work Explorer shows you
Work Explorer surfaces the full anatomy of every workflow it discovers, including:
* Every step and decision point in a workflow
* Team handoffs and system boundaries
* Run counts and cycle times
* Rework patterns and deviation frequency
* Bottlenecks where processes stall or take longer than expected
## Navigating Work Explorer
Access Work Explorer by clicking **Work Explorer** in the left sidebar. You land on a table of every workflow Fluency has discovered across your organization. Each row shows the workflow name, owning team, last activity date, and a summary of key metrics.
Use the filter bar at the top of the table to narrow results by team, department, or time period. You can combine filters — for example, show only Finance workflows active in the last 30 days — to zero in on the area you're investigating.
Click any workflow row to open its detailed process map.
## Workflow maps
When you open a workflow, Fluency presents a synthesized process map built from real execution data. The map includes:
* **Nodes** for each discrete step in the workflow, labeled with the action performed
* **Edges** connecting nodes to show handoffs between steps
* **Annotations** on each node indicating which system or team owns that step
* **Timeline view** along the bottom of the map, showing average cycle time between steps and where time accumulates
The map represents the aggregate of every observed run, not a single execution. Steps with high deviation rates appear visually distinct so you can spot irregularities at a glance.
## Execution metrics
Each workflow's detail view includes four core metrics that tell you how the process is performing in practice:
| Metric | Definition |
| ------------------ | ---------------------------------------------------------------------------------------------------------------------- |
| **Run count** | The total number of times this workflow ran in the selected period |
| **Cycle time** | The average elapsed time from the first step to the last step of a completed run |
| **Rework rate** | The percentage of runs in which at least one step had to be repeated before the workflow could advance |
| **Deviation rate** | The percentage of runs that took an unexpected path — skipping steps, adding steps, or executing steps out of sequence |
These metrics update continuously as Fluency processes new activity. You can switch the time range selector to compare performance across periods.
## Bottleneck detection
Fluency automatically highlights bottlenecks — steps where runs stall, queue, or take significantly longer than the workflow's median cycle time. Bottleneck steps are flagged with a visual indicator on the process map and surfaced in the **Bottlenecks** panel in the right-hand sidebar.
When you find a bottleneck, you can:
1. Click the flagged node to open a filtered list of all affected runs
2. Compare the execution path of deviating runs against the standard path to identify what's going wrong
3. Review the contributing teams and systems at that step to determine whether the delay is human, system, or process-driven
4. Use your findings to inform an automation opportunity in the **Opportunities** module
Work Explorer updates continuously as new activity is detected. You don't need to re-run discovery — the platform keeps workflow maps current automatically.
## Common use cases for Work Explorer
Map and validate every candidate process before committing to an initiative. Confirm that what you're automating reflects how work actually runs, not how it was designed on paper.
Build a living map of how your organization actually operates. Work Explorer gives operations and transformation teams a single, continuously updated source of truth for every process.
Capture institutional knowledge from your best practitioners by observing how high-performing runs differ from the norm. Encode those patterns before people move on.
Generate accurate, evidence-backed process documentation for audits and regulatory reviews — derived from actual execution data rather than manually maintained diagrams.
## Next steps
Turn what you've discovered into a ranked list of automation candidates, each with projected hours saved and financial ROI.
Follow the step-by-step guide to orienting yourself in Work Explorer for the first time and extracting your first meaningful insights.