--- 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)