PlatformAI · FlagshipAI Stories: HR insights in plain English.Next moduleAnalytics & Reporting

Stories · Plain English · Every Monday · Built in Lagos

Your people data, read to you over coffee.

Workforce intelligence as one honest paragraph every Monday: what your team actually did last week, who's trending up, who's quietly disengaged, and what's worth a conversation today. Plain language AI HR insights, no dashboards, no pivot tables, no "I'll get back to you."

Try it on Light See pricing

1 paragraph

What replaced the 14-tab HR dashboard

14 days

Earlier warning on flight risk, on average

92%

Of execs read the Monday story within an hour of it landing

app.careersome.com / storiesMONDAY · 09:02

This week at Kola Finance

Week 42 · 184 people · written 3 minutes ago

● Weekly story · Executive view

Engineering is shipping 19% more than last month, and sentiment climbed after Thursday's release. Two people are in the flight-risk band. It's worth a 1:1 this week with Ifeoma and Kweku. Compensation for senior mobile in Lagos is 4.6% below market, the strongest signal behind both flags.

Up this week

Mobile team velocity · +19%
Pulse: clarity on priorities

Needs your attention

2 flight-risk flags
Comp gap · senior mobile

Before and after

The executive update, before and after Stories.

How you learn what's going on, todayBefore

14-tab dashboard that nobody opens on Monday
A quarterly "temperature check" with HR, usually two weeks late
You hear about Ifeoma's resignation on the day she sends it
The comp gap surfaces in an exit interview, not a planning meeting
Board deck built by hand, the Sunday before the board meeting

Time from signal to action6 to 12 weeks

How you learn with StoriesAfter

One paragraph, every Monday, in your inbox and Slack
Flight risk flags with context, not a score, a sentence
Every number traceable to a source record, one click away
Ask "why is attrition up in growth?", get a sourced answer in seconds
Board ready memo generated from the same data, one click

Time from signal to actionSame day

How Stories work on Careersome

Five steps from a million events to one Monday paragraph.

Every event your team generates becomes a signal.

01 / 05

A check in logged, a pulse dropped, a leave approved, a hire made, Stories listens to every module on the platform, in real time, without you building a pipeline.

1:1 notes

412 this week

PERF

Pulse responses

169 · 92%

ENG

Leave approvals

TIME

Hires closed

HIRE

Comp reviews

PAY

People analytics in plain language.

Ask what's happening across hiring, performance, leave, and engagement, get a short answer with sources from your HR analytics, not another dashboard to decode.

Natural language questions

Query turnover, team load, or review status in plain English, useful for managers who don't live in BI tools.

Sourced answers

Responses point back to modules and records, so you can verify, not just believe a paragraph.

Risk and trend signals

Surface flight risk, goal drift, and workload strain early, before they show up in attrition reports.

Manager and exec views

Role appropriate summaries, team health for line managers, portfolio views for leadership.

Weekly digest

A concise read on what changed, fewer status meetings that only repeat numbers.

Connected to the full platform

Stories read the same data as recruitment, performance, and analytics, one fabric, not a bolt on AI.

Questions

Before you try Light, the things people ask us.

How is a Story different from a dashboard?

A dashboard shows every number at once and leaves the interpretation to you. A Story is a short paragraph that names what's changing, why it matters, and what to do, drafted by the AI, editable by you, sourced to the underlying records.

Who can read which Story?

Stories are scoped by role. Executives see org wide signals. Managers see their own team. Employees see their own Story, the same honest read their manager has, phrased for them. Admins control audience and cadence.

Can I edit a Story after it goes out?

Stories publish automatically every Monday, fully cited to source records, no human bottleneck. If something needs a fix, correct or suppress it directly from the Story afterward, the citations stay live so you're never editing blind.

What if the AI gets something wrong?

Every claim is cited to source records. If a number looks off, you click through to the evidence and either correct the record or flag it, the model learns from both. Confidence scores are visible on every figure.

Is my data used to train shared models?

No. Your models are your models, scoped to your workspace. Nothing is trained on other customers, and sensitive signals never leave your region of residency.

Get your Monday brief, from day one.

Start free on Careersome Light and read workforce stories without a sales call.

Try it on Light→See pricing