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---
id: overview
title: Overview
description: Dashboard analytics for application volume, conversion, and response rate by source over selectable time windows.
sidebar_position: 1
---
## What it is
The Overview page is the analytics dashboard for your pipeline outcomes.
![Overview dashboard](/img/features/overview-dashboard.png)
It visualizes:
- Applications per day
- Application-to-response conversion
- Funnel progression (Applied, Screening, Interview, Offer, Rejected)
- Response rate by source
### Graph-level views
![Applications per day graph](/img/features/overview-applications-graph.png)
![Funnel progression graph](/img/features/overview-funnel-graph.png)
## Why it exists
The page helps you measure whether your current sourcing and tailoring approach is producing responses, not just applications.
Use it to quickly answer:
- Are application volumes increasing or dropping?
- Is response conversion improving?
- Where are applications stalling in the funnel?
- Which job boards are actually generating responses?
## How to use it
1. Open **Overview**.
2. Select a time window (`7d`, `14d`, `30d`, `90d`) in the top-right selector.
3. Review:
- **Applications per day** for volume trend
- **Application → Response Conversion** for quality/outcome trend
- **Response Rate by Source** to compare job board effectiveness
4. Compare periods and adjust your sourcing terms, filters, or tailoring strategy.
### Data and calculation defaults
- Default window is `30d`.
- Only jobs in statuses `applied` and `in_progress` are used as input.
- Conversion counts any positive response-stage event (for example recruiter screen, assessment, interview stages, or offer).
- Conversion trend chart uses a rolling window up to 7 days.
- Response rate by source is calculated across all time (not scoped to the duration selector), since response events may arrive well after the application window.
- Sources with fewer than 5 applications are hidden by default in the Response Rate by Source chart. Check **Include small samples** to show them.
### Response Rate by Source
The **Response Rate by Source** chart shows, for each job board (LinkedIn, Indeed, Gradcracker, etc.), what percentage of your applications received a non-rejection response.
**What counts as a response:** the application reached at least one of these stages — recruiter screen, assessment, hiring manager screen, technical interview, onsite, or offer. Ghosted applications (no stage events) and rejected outcomes are both excluded from the numerator.
Each bar is labelled `X% (n=Y)` where `n` is the number of applications from that source, so you can immediately tell whether a high rate comes from a meaningful sample or a single lucky application. The full breakdown (response rate, responded, applied) is also shown in the tooltip.
Sources are sorted by response rate descending. Sources with fewer than 5 applications are hidden by default to avoid misleading percentages from tiny samples. Check **Include small samples** to show them.
Use this chart to identify which sources produce genuine engagement versus silence, and concentrate future sourcing effort accordingly.
## Common problems
### Empty charts
- Verify you have jobs with `appliedAt` timestamps.
- The selected duration may exclude your recent activity.
### Conversion appears low
- Conversion only counts jobs that reached response stages.
- If stage events are missing or delayed, conversion will under-report.
### Trend icons look counterintuitive
- Volume trend compares first-half vs second-half averages in the selected window.
- Changing the time window can materially change trend direction.
### Response Rate by Source shows only one source
- Only sources with at least one applied job appear in the chart.
- If all your applications come from a single board, only that board will be shown.
### Response rate for a source looks too high or too low
- Check the `n=` value in the bar label or tooltip. A small sample (e.g. n=2) will produce an unreliable rate.
- Sources with fewer than 5 applications are hidden by default. If you see a suspiciously high rate, you may be looking at a small-sample source — check the n.
## Related pages
- [Orchestrator](/docs/next/features/orchestrator)
- [Post-Application Tracking](/docs/next/features/post-application-tracking)
- [Troubleshooting](/docs/next/troubleshooting/common-problems)