Zalaris PeopleHub

Talent Flow Analytics

Track hiring velocity, internal mobility, and attrition patterns

Talent Flow Sankey Diagram
Visual representation of talent movement: Sources → Current Workforce → Destinations
Sources
Current Workforce
Retained
Transfers
Exits

Hiring Funnel Analysis

Conversion rates and bottlenecks across hiring stages

Bottleneck Alert: Technical Interview Stage
45% drop (average is 55%) - Review interview difficulty and candidate preparation
Applied
3,456 candidates
3456
Screened
1,234 candidates36% conversion
1234
First Interview
567 candidates46% conversion
567
Technical/SkillsBottleneck
312 candidates55% conversion
312
Final Interview
189 candidates61% conversion
189
Offer Made
134 candidates71% conversion
134
Offer Accepted
107 candidates80% conversion
107
Started
98 candidates92% conversion
98
Overall Conversion
2.8%
Avg Time in Funnel
42 days
Show Rate
92%

Time-to-Fill Metrics

Hiring velocity and efficiency by role and department

Average Time-to-Fill
42 days
+6 days vs target
Target:36 days
Industry Avg:38 days

By Role Level

C-Suite127 days
VP/Director68 days
Manager45 days
IC34 days

By Department

DepartmentAvg DaysTrendOpenRisk
Engineering4867🔴
Sales3523🟢
Product5212🟡
Data Science7128🔴
Marketing388🟢

Internal Mobility Intelligence

Track internal movement patterns and career progression

Transfer Rate Dashboard

18.4%
Annual internal transfer rate
Target:20%
Industry:15%
Good - above industry, slightly below target
Lateral moves:62%
Promotions via transfer:28%
Adjustments:10%

Cross-Functional Mobility Matrix

Movement between departments (last 12 months)

From / ToEngSalesProdMktgOther
Engineering
-
12
28
8
15
Sales
5
-
18
22
12
Product
15
8
-
14
9
Marketing
3
16
11
-
7
Other
18
14
12
10
-
Key Insight
Engineering → Product is the most common cross-functional move (28 transfers)

Career Path Analysis

Most common progression paths

IC → Manager
45 moves
Avg Time
2.3 years
Success Rate
89%
Manager → Director
23 moves
Avg Time
3.1 years
Success Rate
78%
Cross-functional IC
67 moves
Avg Time
1.8 years
Success Rate
92%
Technical → Product
34 moves
Avg Time
2.7 years
Success Rate
85%
Recommendation
Create formal mentorship program for IC → Manager transitions (highest volume, high success)

Attrition Analysis

Exit trends, reasons, and regrettable loss tracking

Exit Trends (Last 6 Months)

7.9%
Total Attrition
6.8%
Voluntary
1.1%
Involuntary
Trending Up
Voluntary attrition increased 1.4% over last 6 months - investigate compensation and growth opportunities

Exit Reasons Breakdown

Better compensation45 (24%)
Career growth38 (20%)
Work-life balance32 (17%)
Management issues28 (15%)
Relocation22 (12%)
Other22 (12%)
Top Concern
Compensation (24%)
Addressable
76% of exits

Recent Regrettable Losses

High Priority
NameRoleDepartmentTenureReasonImpact
Sarah ChenSenior EngineerEngineering4.2 yearsBetter compHigh
Michael TorresProduct ManagerProduct3.8 yearsCareer growthHigh
Emily WatsonData ScientistAnalytics2.9 yearsRemote policyMedium
Action Required
3 high-impact departures in last 30 days - schedule retention review with department heads

Retention Cohort Analysis

Track retention rates by hire year and identify at-risk cohorts

Hire CohortOriginal SizeStill EmployedRetention RateRetention VisualRisk Level
2024 Hires48745693.6%
🟢 Low
2023 Hires62353485.7%
🟡 Medium
2022 Hires51239877.7%
🟡 Medium
2021 Hires44531270.1%
🔴 High
2020 Hires38924563%
🔴 High
Pre-2020123464552.3%
🔴 High
Best Performing Cohort
2024 Hires
93.6% retention
At-Risk Cohort
Pre-2020
52.3% retention
Critical Period
Year 2-3
Highest attrition risk

AI-Powered Insights & Recommendations

Critical

Engineering Hiring Bottleneck

Technical interview stage showing 45% drop vs 55% average. Consider interview training or difficulty calibration.

Impact: Could delay 67 open positions by 2-3 weeks
High

Voluntary Attrition Trending Up

Voluntary exits increased 1.4% over 6 months. Top reasons: compensation (24%) and career growth (20%).

Impact: 187 voluntary exits in last 12 months
Medium

Strong Internal Mobility

18.4% internal transfer rate exceeds industry average (15%). Engineering → Product is most common path.

Impact: Positive indicator for employee engagement