ArNa signal map: support conversations flow through the ArNa Resolve pipeline (classify intent, detect risk, structure evidence) into four executive lenses — CX friction, operational load, product and docs gaps, revenue and retention risk — producing decision-ready support intelligence.
How the ArNa Resolve pipeline turns support conversations into decision-ready intelligence. Click to enlarge.
Choose a sector diagnostic

Each diagnostic is built from 1,000 representative support conversations processed through the ArNa Resolve pipeline.


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B2B SaaS Support Analysis

Based on 1,000 representative synthetic support conversations processed through the ArNa Resolve pipeline

How to read this report: Green shows work the bot resolves cleanly. Red shows queries that escalated to humans — sometimes correct design, sometimes capacity strain. Amber shows queries outside reliable bot handling. Blue highlights documentation gaps.
Self-Serve Resolution
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Resolved without a human
Escalation Rate
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Sent to a human
Edge Case Rate
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Outside reliable bot handling
Out-of-Scope Rate
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Queries outside the bot's scope (real docs gaps appear in Top Documentation Gaps below)
Workload mix

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The donut shows where demand enters the operation, before any deflection, escalation, or edge-case handling.

Deflection Rate by Category

What the operation should learn

Finding 01
Intent Distribution
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Prioritise the top two intents first. They are carrying most of the queue.
Finding 02
Deflection Rate
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Fix the weakest category first. That is where the next lift in deflection will come from.
Finding 03
Escalation Triggers
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Review escalation clusters weekly. Repeated triggers belong in product or docs, not only in support.
Finding 04
Edge Case Exposure
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Review repeat edge cases monthly. Three similar misses usually means a docs or product gap.
Finding 05
Out-of-Scope Rate
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These are queries the bot correctly recognised as outside its scope. Real documentation gaps appear in Top Documentation Gaps below.
Finding 06
Top Documentation Gaps
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These are your highest-value documentation gaps. Each one closes a blind spot the bot currently cannot handle — address the top cluster first.
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Where the support signal points to margin, retention, risk, or growth

Highest-ROI Opportunity
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of queries
need a human today

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current deflection
→
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with automation fix

Sample Escalations

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Sample Edge Cases

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See how this was built, or explore a version for your business

ArNa Insights is a portfolio project built to show how I scope, build, and ship AI products that connect technical systems to business value. If you want to discuss what a version of this would look like for your support operations, I am happy to talk.

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Classifying support queries…
Processing through the ArNa Resolve pipeline
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