Ready-made report | Attrition Analytics

Employee Attrition Dashboard

Understand why people leave — and stop losing key employees. Early warnings instead of post-mortems: see where risk is building up right now.

5–7 days to launch
50–200% salaries — the cost of replacement
real-time risk signals

Six key metrics of the Attrition dashboard

From the overall attrition rate to a predictive risk score — every metric you need to manage retention proactively, without manually consolidating Excel spreadsheets.

01

Attrition Rate (current and trend)

The current employee turnover rate across the company, with drill-down to department, region and position. Dynamics over 12–24 months. Voluntary and involuntary attrition shown separately. Seasonal patterns — when resignations peak and which departments are most prone to seasonal attrition.

02

Resignations by department and position

An attrition heat map: where turnover is concentrated. Analysis by tenure — who is leaving: newcomers or veterans. A manager view: which managers have above-average turnover. Department-to-department comparison.

03

Reasons for leaving (exit interview analysis)

If your company runs exit interviews, the results are integrated into the dashboard automatically. Reasons are categorized: working conditions, compensation, manager, career growth, a better offer. Frequency analysis by department.

04

Attrition risk (predictive score)

An early-warning model: overtime levels, engagement trends, tenure, lack of promotions. Every employee gets a risk score. The HR director and HRBPs see a list of people at elevated risk — and can have a preventive conversation.

05

Retention Rate by cohort

The percentage of employees still with the company 3, 6, 12 and 24 months after hiring. Cohort comparison: which quarter or hiring channel delivers better retention. Critical for assessing hiring quality — not how many vacancies were closed, but how many people stayed.

06

⚠ Comparison with industry benchmarks

Your company's attrition rate against the industry and market average. Is 25% turnover in IT alarming or normal? Benchmarks help separate a systemic problem from a market norm and set the right priorities for retention efforts.

Who works with the Attrition dashboard

Three roles for whom proactive attrition management is a daily competitive advantage.

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HR director

Gets the full attrition picture without manual consolidation. Sees problem departments, risk groups and reasons for leaving in one place. Can justify specific retention measures to the CEO with numbers rather than gut feeling.

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CEO

Understands how much the company spends on replacing employees and where those costs are highest. Gets a signal when turnover in a critical department starts to rise — before it hits plan delivery.

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Department heads

Every line manager sees statistics for their own team: who is at risk, what the resignation patterns are, where attention is needed. A tool for the manager themselves — to act before someone leaves.

What the Attrition Dashboard integrates with

The dashboard connects to your existing HR systems and consolidates data automatically, without manual collection.

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HR systems

SAP SuccessFactors, Workday, BambooHR, Oracle HCM and others via ready-made connectors or APIs. Data on employees, positions, resignations and departments arrives automatically.

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Time tracking

Time and attendance systems — actual hours worked, overtime, absences. This data is key to building the predictive attrition risk score.

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Exit interview forms

Microsoft Forms, SurveyMonkey, Google Forms — if you don't have a systematic process yet, we set up an exit survey form that sends responses to Power BI automatically.

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Excel and SharePoint

If HR records are kept in Excel spreadsheets, we connect them via Power Query. Recruiting logs, staffing tables and hiring data are integrated into a single model.

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Personal data is protected with Row-Level Security: each role sees only its own level of detail, in line with GDPR and Ukrainian law.

Implementation Four steps to an Attrition dashboard — in 5–7 days We connect your existing data sources. If exit interviews are not yet systematic, we set up a collection form in 1–2 days.

1

Day 1 Connecting HR sources We get access to the HR system, time tracking and survey results. We analyze the structure of your workforce data. Your involvement: one 60-minute meeting.

2

Days 2–4 Data model and metrics We build a single model: we calculate attrition rate, cohort retention and the predictive risk score. If needed, we set up an exit interview form in Microsoft Forms.

3

Days 5–6 Role-based access and alerts We configure Row-Level Security: HR director, HRBPs, department heads — each sees their own level. We set up automatic alerts for critical risk levels.

4

Day 7 Launch and HR team training We deploy to Power BI Service and run a workshop for the HR director and HRBPs. We explain the logic of the predictive score and how to respond to alerts. 30 days of support included.

Answers to common questions

What data is needed to calculate the attrition rate?
Three types of data: the list of active employees at the start and end of each reporting period, records of all resignations with date and reason, and hiring data for cohort retention analysis. This data exists in virtually any HR system or in the HR department's Excel spreadsheets.
Can exit interview results be connected?
Yes. If your company already runs exit interviews and stores the answers in a structured way, we connect them to the model. If there is no systematic process, we set up a form in Microsoft Forms or Typeform that sends data to Power BI automatically. It takes 1–2 days.
How is attrition risk (the predictive score) determined?
The model is built on several groups of signals: structural factors (tenure, time since the last promotion, lack of career movement) and behavioral signals (rising overtime, changes in absence patterns, declining satisfaction). The model is trained on your historical data and serves as an indicator for HR attention, not an automatic verdict.

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Stop the talent drain before it's too late

The Attrition dashboard shows where risk is building up, why people leave and what exactly needs to change. We launch it in 5–7 days on your data — no lengthy projects or big budgets.