PlatformAIAnalytics & ReportingNext moduleRecruitment

Analytics & Reporting · Live · Cross-module · Board-ready

Every module feeds one analytics layer, finally.

Recruitment, performance, pay, time off, engagement, and activity land in the same charts and exports. No more stitching spreadsheets Friday night for Monday's leadership sync.

Book a 30-min demo Try it free on Light

1 layer

One place every KPI agrees, not five conflicting exports

<60s

Typical time to answer a cross-team question with sources

100%

Figures traceable to underlying records, not orphan metrics

app.careersome.com / analyticsLIVE

Executive Workforce Dashboard

This quarter · 4 countries · refreshed 3 minutes ago

HeadcountHiringPerformanceRetentionDEI

Attrition risk8.4%

Hiring SLA91%

Reports exported43

Engineering healthVelocity stable · promotion pipeline improved

trend: +6%confidence: high

Operations varianceOvertime in Lagos above policy threshold

watchlistcost impact

Board pack readinessAll KPI tiles traceable to source records

PDFCSVslides

Analytics & Reporting

Before · After

From "I'll pull something together" to "it's in your inbox."

How reporting works, todayBefore

Five tools, five definitions of "headcount"
A board deck rebuilt from screenshots every quarter
Someone asks "why is attrition up in Growth?", you open a ticket
Exports that age the second they leave the database
Finance and HR arguing from different spreadsheets

Time to a trusted answerDays to weeks

How reporting works on CareersomeAfter

One definition of every metric, sourced from live modules
Dashboards and memos generated from the same query
Plain-language answers with citations, in seconds, not sprints
Scheduled exports that refresh themselves
Every number your CFO and CHRO can defend in the same room

Time to a trusted answerSame meeting

How analytics works on Careersome

Five steps from raw events to a chart you trust.

Hires, reviews, leave, pay events, one pipeline.

01 / 05

Data lands from recruitment through offboarding in a shared model. No nightly CSV shuffle, the platform knows how modules relate.

One analytics layer across every module.

Hiring, performance, pay, time off, and engagement in the same model, slice by team, drill to records, export what leadership needs.

Cross-module metrics

Headcount, attrition, time-to-hire, and cost tie to the same definitions, fewer "which spreadsheet is true?" fights.

Saved views

Exec, HRBP, and finance lenses on the same numbers, permissions respected.

Cohort and trend reports

See movement over quarters by site, grade, or gender, for board and DEI questions.

Scheduled exports

Recurring CSV or PDF packs to email or SFTP, less manual rebuild every Monday.

Drill to underlying records

Click a spike and open the hires, reviews, or approvals behind it, audit-ready.

Feeds Stories and leadership packs

The same figures power narrative summaries, prose and charts stay aligned.

Where analytics travels

From live dashboards to board packs & inboxes.

Pin dashboards in-app, push scheduled exports to email or Slack, or feed BI tools, the same metrics, wherever decisions happen.

Careersome appLive dashboards & saved views

EmailScheduled executive packs

SlackKPI digests to channel

PDF / ExcelOne-click exports

Google SheetsPush & refresh

BI connectorsWarehouse & lake feeds

API / webhooksWire to your stack

StoriesNarrates the same KPIs

AlertsThreshold & anomaly pings

Notion / ConfluenceEmbed snapshots

TeamsLeadership channel posts

ZapierCustom routing

Questions

Before you book a demo, what analytics buyers ask.

Is this just another dashboard tool?

No, it's the reporting layer on top of operational HR data that already lives in Careersome. You're not importing dead files; you're reading live modules.

Who can see what?

Role-based access mirrors your org: execs see org-wide rollups, managers see their teams, finance sees comp-relevant cuts. Admins configure policies and audit views.

Can we export to our data warehouse?

Yes, scheduled extracts and APIs let you land the same curated metrics in Snowflake, BigQuery, or your lake without rebuilding logic twice.

How do you handle definitions changing?

Metric definitions are versioned in-product. When a formula changes, historical views are labeled, so you're never comparing apples to oranges silently.

Does this replace our BI team?

It replaces the glue work, pulling, reconciling, and re-explaining. Your analysts spend time on insight, not wrangling five exports.

See your own dashboards, on your own data shape.

Bring a sample of roles and teams, we'll map the views your leadership actually asks for and show live refreshes, not slides.

Book a demo→See pricing