Worker Reliability Scores
Understand how TempClock calculates worker reliability across 22 metrics, how to read scores, trends, and risk flags, and how AI-powered insights help you make smarter workforce decisions.
What Are Reliability Scores?
AI-powered workforce intelligence at a glance
Worker Reliability Scores give you a single 0–100 rating for every worker, calculated automatically from 22 data points across 6 categories. Instead of relying on gut feeling or manually checking timesheets, you get an objective, data-driven view of who you can count on.
0–100, where 100 is perfect reliability
22 individual metrics across 6 weighted categories
Recalculated daily based on the latest data
90 days of daily score snapshots for trend analysis
Reliability Scores are available on the Enterprise plan. They appear in the admin dashboard under Reliability Scores in the sidebar, and tenant managers can also access a client-scoped version.
How Scoring Works
The calculation behind the number
Each worker's score is built from 6 weighted categories. Within each category, individual metrics are scored from 0 to 100 and combined using their own weights. The category scores are then blended using the category weights, plus a 5-point base, to produce the final composite score (capped at 100).
The formula is: composite = sum(category_score × category_weight) + 5, capped at 100.
30% weight — the biggest factor
20% weight
10% weight
15% weight
15% weight
10% weight
The 5-point base means even a worker with some struggles won't hit absolute zero. This prevents a single bad week from making a score look catastrophic.
The 6 Scoring Categories
22 metrics organised into weighted groups
Here's what each category measures and why it matters.
A. Attendance & Punctuality (30% of total)
The single biggest factor. Measures whether workers show up and show up on time.
B. Shift Commitment (20% of total)
Tracks whether workers follow through on accepted shifts.
C. Responsiveness (10% of total)
How quickly workers respond to shift offers and messages.
D. Compliance & Documentation (15% of total)
Measures how well workers stay on top of required paperwork and procedures.
E. Quality & Conduct (15% of total)
Behavioural track record including incidents and disputes.
F. Engagement & Flexibility (10% of total)
How engaged and adaptable the worker is beyond their basic duties.
Not all metrics will apply to every deployment. For example, if you don't use GPS geofencing, that metric won't negatively affect scores — it's automatically excluded from the calculation.
Reading the Scores Dashboard
Navigate the Reliability Scores page
The Reliability Scores page is your central command for workforce intelligence. It combines summary statistics, filters, a sortable worker table, and expandable detail panels.
Check the summary cards
At the top of the page, four summary cards give you the big picture:
- Average Score — The mean reliability score across all active workers
- Improving — Workers whose score has risen more than 2 points in the last 30 days
- Declining — Workers whose score has dropped more than 2 points
- At Risk — Workers with active risk flags that need attention
Use the filter tabs
Filter the worker table by status:
- All Workers — Everyone with a calculated score
- Reliable (80+) — Your most dependable workforce
- Attention (55–79) — Workers who could improve with support
- At Risk (below 55) — Workers requiring immediate attention
Read the worker table
Each row shows:
- Score badge — colour-coded circle (green 80+, amber 55–79, red below 55)
- Trend arrow — green up arrow (improving), red down arrow (declining), or grey dash (stable)
- 6 category mini-bars — quick visual of performance across all 6 categories
- Risk status — badges for any active risk flags
Expand a worker for full detail
Click any worker row to expand the detail panel, which includes:
- Radar chart — Visual comparison of all 6 categories
- 90-day trend line — Historical score chart showing improvement or decline over time
- Category breakdown — Each category with its individual metrics and scores
- AI assessment — A plain-English summary of the worker's performance from Ada, TempClock's AI
Click the column headers to sort the table. Sorting by individual categories helps you find workers who are strong overall but weak in a specific area — for example, someone with a high attendance score but low compliance.
Trends & Risk Flags
Spot problems before they escalate
TempClock compares each worker's score over the last 30 days against the previous 30 days to calculate trends and automatically flags workers who may need attention.
Score increased by more than 2 points over 30 days. Shown as a green up arrow.
Score decreased by more than 2 points over 30 days. Shown as a red down arrow.
Score changed by 2 points or less. Shown as a grey dash.
Risk flags are automatically raised when specific thresholds are crossed:
Risk flags appear as badges in the worker table and in the detail panel. They're designed to catch problems early — a worker whose on-time rate is dropping may be heading for a no-show if the pattern isn't addressed.
AI-Powered Insights
Ada's workforce intelligence
When the AI module is enabled, TempClock's AI assistant Ada provides two types of intelligence on the Reliability Scores page:
A 2–3 sentence summary at the top of the page covering overall workforce health, trends, and areas of concern. Updated hourly.
A single-sentence insight for each worker when you expand their detail panel. Highlights the most important thing to know about that worker right now.
AI insights are optional and controlled by a feature toggle. If AI is disabled, the Reliability Scores page works exactly the same — you just won't see the Ada assessment cards. Scores, trends, and risk flags are all calculated without AI.
Ada's assessments are generated from the same data you see in the dashboard — scores, trends, incidents, and compliance status. They're designed to save you time by surfacing the most important patterns in plain English.
Best Practices
Get the most from reliability scoring
Follow these recommendations to make reliability scores a powerful part of your workforce management.
Reliability Scores work best when you have at least 30 days of clock-in data for a worker. New workers will have limited data, so their scores may fluctuate more in the first few weeks.
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