What is an XLA (Experience Level Agreement)?

An XLA measures what users actually experience—transaction speed, friction, satisfaction—rather than just infrastructure uptime. While your SLA might show 99.9% availability, the XLA reveals if users are actually productive.

What is the Watermelon Effect in IT?

The Watermelon Effect describes when SLAs are 'green on the outside' (metrics look good) but 'red on the inside' (users are frustrated). 53% of enterprises report that 'slow is the new down'—latency kills productivity even when systems are technically 'up'.

How does Allari measure XLAs?

We track Ticket Aging (how long users wait for resolution), Transaction Velocity (how fast work flows through your systems), and Friction Points (where users get stuck). These metrics reveal the real user experience behind your green dashboards.

Why are traditional SLAs insufficient for modern IT?

SLAs measure infrastructure availability, not user productivity. A server can be 'up' while applications run slowly, integrations fail silently, or queues back up. XLAs bridge the gap between technical metrics and business outcomes.

How quickly can we see XLA improvements?

Ticket aging typically drops from 16+ days to under 2 days within the first 90 days. The Structured Execution Framework attacks the queue physics that create user friction, not just the symptoms.

What is an XLA (Experience Level Agreement)?

An XLA measures what users actually experience—transaction speed, friction, satisfaction—rather than just infrastructure uptime. While your SLA might show 99.9% availability, the XLA reveals if users are actually productive.

What is the Watermelon Effect in IT?

The Watermelon Effect describes when SLAs are 'green on the outside' (metrics look good) but 'red on the inside' (users are frustrated). 53% of enterprises report that 'slow is the new down'—latency kills productivity even when systems are technically 'up'.

How does Allari measure XLAs?

We track Ticket Aging (how long users wait for resolution), Transaction Velocity (how fast work flows through your systems), and Friction Points (where users get stuck). These metrics reveal the real user experience behind your green dashboards.

Why are traditional SLAs insufficient for modern IT?

SLAs measure infrastructure availability, not user productivity. A server can be 'up' while applications run slowly, integrations fail silently, or queues back up. XLAs bridge the gap between technical metrics and business outcomes.

How quickly can we see XLA improvements?

Ticket aging typically drops from 16+ days to under 2 days within the first 90 days. The Structured Execution Framework attacks the queue physics that create user friction, not just the symptoms.

For CIOs & IT Leadership

Your SLA is Green.Your Users See Red.

53% of enterprises say "slow is the new down." Traditional SLAs measure server availability. XLAs measure what actually matters: Is the user productive?

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16 days

typical ticket aging

1.77 days

Resolution Pulse

82%

velocity improvement

90 days

to XLA transformation

The Watermelon Effect

Green on the Outside. Red on the Inside.

Your NOC dashboard shows all-green. Your Execution Center is drowning in tickets. SLAs measure availability. XLAs measure experience.

SLA Dashboard

99.9% Uptime ✓

Servers Available

All instances responding. No outages detected.

Network Healthy

Latency within thresholds. No packet loss.

Response Time Normal

API calls under 200ms. SLA targets met.

"Everything looks fine"

XLA Reality

Users Frustrated ✗

Ticket Aging: 16 Days

Users waiting weeks for resolution. Workarounds spreading.

Transaction Velocity: Slow

Processes that should take minutes take hours.

User Satisfaction: 34%

"The system is technically up, but I can't get my work done."

"Slow is the new down"

From SLA to XLA

What We Actually Measure

XLAs track the metrics that correlate with user productivity and satisfaction— not just whether infrastructure is "available."

Ticket Aging

How long do users wait for resolution? High performers: under 2 days. Typical organizations: 16+ days.

SLA measures: "Was ticket acknowledged?"

XLA measures: "Was user unblocked?"

Transaction Velocity

How fast does work flow through your systems? Bottlenecks create friction even when servers are "up."

SLA measures: "Is the system responding?"

XLA measures: "Can users complete tasks?"

User Sentiment

Are users satisfied with IT delivery? Direct correlation with productivity and shadow IT adoption.

SLA measures: "Were tickets closed?"

XLA measures: "Are users happy?"

XLA Transformation

From Red to Green (Where It Matters)

HellermannTyton Manufacturing

82% Velocity Improvement

Their SLAs were green. Their users were frustrated. After implementing Structured Execution, ticket aging dropped from 16 days to 1.77 days— an 89% improvement in the metric that actually matters.

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Ticket Aging

16.42 days1.77 days

On-Time Delivery

36%92%

Cost Compression19% Year 1

XLA & Experience Metrics FAQ

Answers for CIOs moving beyond traditional SLAs.

Engineer the Experience

Stop celebrating green SLAs while your users struggle. Let us show you the XLA metrics that correlate with actual productivity.

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Conducted by Senior Enterprise Leaders. No sales scripts.