DataSnipper

Executive Support Report

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Interactive Report

DataSnipper Technical Support February 2026

February broke every record. Volume surged 124%, AI now handles half of all conversations, and teammate CX jumped 11 points. This is the story of how we scaled without breaking — told through the data.

1,680 Conversations
39% AI Automation Rate
6h 22m Avg Response
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THE AI TRANSFORMATION STORY
DataSnipper Technical Support — February 2026
0
Total Conversations
February 2026
0
AI Resolved
No human needed
0
Deflection Rate
Of conversations routed via AI
39% of all conversations fully resolved by AI

The Volume Explosion

From 750 to 1,680 conversations in three months. Volume more than doubled — and the system held.

Dec
750
Jan
1,156 +54%
Feb
1,680 +45%
+124%
750 ➔ 1,680
Conversation Growth
-17.5pp
70.8% ➔ 53.3%
Ticket Conversion Rate
3.6×
219 ➔ 784
AI Deflections Growth

AI Takes the Front Line

Tally touched 844 conversations this month — 50.2% of all volume. Coverage doubled since December.

0.0%
of Conversations Handled by AI
Up from 30.0% in December — coverage doubled in 3 months
30.0% Coverage
Dec 2025
225 convos
39.6% Coverage
Jan 2026
458 convos
50.2% Coverage
Feb 2026
844 convos
Dec 2025
73.3%
26.2%
225 total
Jan 2026
80.8%
17.2%
458 total
Feb 2026
77.7%
19.2%
844 total
Resolved
Escalated
Pending

The Conversation Split

Ticket conversion dropped from 70.8% to 53.3%. AI is catching more before they ever become tickets.

Dec
531 70.8%
219 29.2%
Jan
655 56.7%
501 43.3%
Feb
896 53.3%
784 46.7%
Became Tickets
Resolved Without Ticket

Where Customers Reach Us

December 2025 – February 2026 aggregate across 2,082 tickets and 3,586 conversations.

Email
Chat
Web Submission
Slack
Ticket Channels
2,082 Total
Conversation Channels
3,586 Total

Response Time — The Long View

From 3.9 days in late 2024 to 6h 22m today. We have decoupled speed from volume.

2024 Response
2025 Response
2026 Response
2024 Tickets
2025 Tickets
2026 Tickets
2025 Convos
2026 Convos

Performance Pulse

Speed profile, response distribution, automation rate, and resolution pathways — the operational heartbeat.

SPEED PROFILE

February 2026
TTFR 85% Resolution 72% AI Speed 90% Human Spd 65% SLA 88%

RESPONSE DISTRIBUTION

Oct 2025 – Feb 2026
0-1h 1-4h 4-8h 8-24h 1-3d 3d+ Oct Nov Dec Jan Feb ← FASTER SLOWER →
Oct 2025 Nov 2025 Dec 2025 Jan 2026 Feb 2026
Peak shifting left month-on-month — first replies are getting faster

AUTOMATION RATE

AI Coverage
844
conversations
Up from 30%
in December
25% 50% 75% 100% 30% Dec 32% Jan Q2 Target 39%
+7pp
vs January
60% target

RESOLUTION PATHWAYS

February 2026
1,680Conversations 844AI Handled 836Human Handled 656AI Resolved 158Escalated 30 Pending 660Support Resolved 68 Eng Escalated 108 Commercial 50.2% of volume 49.8% of volume

Ticket Drivers

December 2025 – February 2026: across 1,475 tickets, here is why they opened and how they closed.

Why Tickets Open
Simple Question
769
52.1%
Complex Question
359
24.3%
Request
196
13.3%
Bug
147
10.0%
Security
4
0.3%
How Tickets Close
Support Resolved
969
78.7%
Commercial
133
10.8%
Engineering Fix
68
5.5%
User Knowledge
24
1.9%
Version Fix
23
1.9%
Feature Request
15
1.2%

Simple Questions dominate at 52%, the category our AI absorbs best and where continued automation gains will have the largest impact. Bugs spiked 6× in February (17 to 104) driven by version releases, pushing Engineering Fix share up 43%. Despite that, nearly 79% of all tickets are resolved by support without any other party involvement.

Bug Signal
Dec 2025
26 bugs (7%)
Jan 2026
17 bugs (3%)
Feb 2026
104 bugs (19%)
Simple Q Complex Q Bug Request Security
Bug Report Surge
From 17 in Jan to 104 in Feb
⚠ Incident Context
The February spike is directly attributed to a platform outage incident caused by DataSnipper. This service disruption drove a significant increase in bug reports.

A Journey of Ticket Categories

From product-level view to Core breakdown to Dashboard deep-dive — three levels of ticket intelligence.

By Product
1,459 categorised
DataSnipper Core
945
64.8%
Dashboard
213
14.6%
Out of Scope
113
7.7%
FSS
77
5.3%
UpLink
60
4.1%
DocuMine
42
2.9%
DS Academy
7
0.5%
Excel Agent
2
0.1%
Step 1 / Product View
945
DataSnipper Core

Core dominates at 64.8% of all categorised tickets, more than every other product combined. Dashboard is a distant second at 14.6%. FSS, UpLink and DocuMine together account for just 12.3%.

Drilling into Core →
Step 2 / Core Breakdown
52%
Access & Install

Account & Connectivity (231) and Install (206) make up over half of all Core tickets. High-frequency, low-complexity issues ideal for AI deflection. Core Performance tripled from Dec to Jan, settling at 129 total.

Core Issue Breakdown
834 categorised
Account & Connect.
231
27.7%
Install
206
24.7%
Core Performance
129
15.5%
Documents
83
10.0%
Snips
47
5.6%
OCR
45
5.4%
Core Features
31
3.7%
UI & Interface
26
3.1%
Automation
19
2.3%
Import
17
2.0%
← Drilling into Dashboard
Dashboard Deepdive
207 categorised
UMS
110
53.1%
Account
47
22.7%
SSO & Dir. Sync
32
15.5%
Advanced Reporting
12
5.8%
Dashboard Metrics
4
1.9%
Company Templates
2
1.0%
Step 3 / Dashboard View
110
UMS Dominates

User Management accounts for 53% of all Dashboard tickets. Account queries (22.7%) rose sharply in Jan before settling. SSO & Directory Sync is a steady 15.5%, reflecting ongoing enterprise onboarding complexity.

Customer Experience

Teammate CX surged to 80.5% (+11pp). Overall CX at 65.4%. AI CX at 54.4% — room to improve.

🤖
0%
AI CX
(Tally)
👤
0%
Teammate CX
(Human)
📊
0%
Overall CX
(Combined)
💡 Key Insight
CX Gap Analysis
AI: 54.4% | Human: 80.5% | Gap: 26.1pts
The gap between AI and human CX scores remains significant, indicating room for improvement in AI conversation quality.
February Performance
AI CX held at 54.4% under 50.2% coverage (844 conversations). Teammate CX remained strong at 80.5% across 836 direct human conversations.
Path Forward
Focus on improving AI handoff quality and response accuracy to close the CX gap while maintaining high coverage rates.

The AI Frontier

The playbook is working: scale AI for volume, free humans for quality. Here is what the data tells us.

February 2026: The Definitive Scale Test

February served as the ultimate stress test. Conversations surged to 1,680 — a 124% increase in three months — while tickets hit 896. Despite this volume explosion, ticket conversion dropped to 53.3%, down from 70.8% in December. The gap confirms what the data has been signaling: AI is intercepting more conversations before they ever become tickets, fundamentally reshaping the support funnel.

CX, Tally and Path Forward

Tally is acting like a real teammate — involved in 844 conversations and resolving 656 of them with a 77.7% resolution rate and only 3.1% abandonment. Teammate CX jumped to 80.5% (+11pp), while overall CX rose to 65.4%. Humans are now mostly handling the complex, multi-step work while Tally absorbs repeatable questions. February shows we can grow volume and lean on AI for more of the front line, while still making CX meaningfully better instead of trading it away.

February 2026 At a Glance

Response Time
6h 22m
Average Time to First Response for Feb 2026
+41% vs Jan
Feb Volume
896tickets
+156% YoY vs Feb 2025 (350 tickets)
+156% YoY
Monthly Trend
655896
+36.8% MoM growth Jan to Feb
+36.8% MoM
Efficiency
2.56×
Handling 156% more tickets YoY with consistent quality
2.56× multiplier
February 2026 Summary: Record volume of 896 tickets (+156% YoY) with 6h 22m response time. AI involvement at 50.2% is absorbing the volume surge while teammate CX reached 80.5%.