Workspace Analytics

User activity, message statistics, model usage, and division breakdown — May 2026

May 2026 Snapshot  |  150 Enabled Users
Core Metrics — May 2026
176
Total Accounts
Incl. 26 deleted
150
Enabled Users
Active licences
143
Active Users
Sent ≥1 message
10
Non-Users
Enabled, 0 messages
13,438
Total Messages
May 2026
89.6
Avg Messages
Per enabled user
56
Median Messages
Half above / below
188
P90 Threshold
Top 10% marker
Observations
95.3% activation rate. 143 of 150 enabled users sent at least one message in May — an excellent engagement rate for a deployed SaaS AI tool. This level of activation confirms ChatGPT Enterprise is embedded in daily workflows.
Usage is right-skewed. The median (56) is significantly below the average (89.6), indicating that a smaller group of heavy users pulls the average up. This is typical for AI tool adoption and not a concern, but it does mean the average overstates the experience of the typical user.
P90 at 188 messages. Users above the 188-message threshold represent the top 10% of the organisation's ChatGPT users. Three users exceeded 500 messages, with the top user at 968 — nearly 5× the average. These power users are strong candidates for internal champions.
Division Breakdown
DivisionUsersTotal MessagesAvg/User
Customer Experience695,97886.6
Global Sales202,419121.0
CTPO241,61367.2
Marketing & Comms131,25996.8
People71,113159.0
Finance1282268.5
CEO319565.0
Unassigned23919.5

Messages by Division (assigned users only)

Division coverage is now 98.7% (148 of 150 users resolved). Only 2 users remain unassigned — Sara Muryjas (excluded by policy, blank division in directory) and Sofus Andersen (not found in Omada Identity directory). Division data has been resolved using Omada Identity name-based mapping rather than the raw ChatGPT department field.
Model Usage
Advanced reasoning models dominate. Based on model_to_messages data from top users, GPT-5.5-Reasoning and GPT-5.5-Reasoning-Pro are the primary models in use. GPT-5.5-Instant is used for lighter tasks. GPT-4o and GPT-5.3/5.4 appear for a small share of legacy or exploratory prompts. This pattern indicates users are leveraging the most capable models available, which is consistent with high-complexity knowledge work use cases.
Model diversity is low — this is positive. Users are not split across many incompatible model versions. The organisation appears to have converged on 2–3 dominant models, which simplifies governance and training.
Top 20 Users by Message Volume
#NameEmailDivisionMessagesLast ActiveSegment
1Pat Kelleypake@omada.netGlobal Sales9682026-05-31Power
2Marcel Rasmussenmara@omada.netCustomer Experience6392026-05-31Power
3Kenneth Tiemrothkti@omada.dkCTPO5072026-05-30Power
4Sune Giedosgi@omada.dkCustomer Experience4772026-05-31Regular
5Matt Porpigliamatp@omada.netPeople4322026-05-31Regular
6Piotr Lubińskiplu@omada.netCustomer Experience3582026-05-29Regular
7Macarena Collamacc@omada.netMarketing & Comms3482026-05-31Regular
8Hasse Olssonhol@omada.dkCustomer Experience3172026-05-29Regular
9Mads Peitersenmpe@omada.dkCustomer Experience2982026-05-31Regular
10Mia Sørensenmms@omada.dkPeople2282026-05-29Regular
11Malgorzata Strzeleckamst@omada.dkPeople2282026-05-31Regular
12Tabita Bajnatba@omada.netMarketing & Comms2232026-05-29Regular
13Andreas Klammerankl@omada.netCustomer Experience2122026-05-31Regular
14Helge Isselhis@omada.dkCTPO2082026-05-29Regular
15Paweł Małkiewiczpama@omada.netCustomer Experience1922026-05-29Regular
16Tom Brauntobr@omada.netGlobal Sales1872026-05-29Regular
17Esther Balestrieriesba@omada.netMarketing & Comms1832026-05-31Regular
18Timo Plögertipl@omada.netCustomer Experience1812026-05-31Regular
19Alex Leistenale@omada.netFinance1782026-05-28Regular
20Henrik Jensenhtj@omada.dkCTPO1782026-05-29Regular

All names and data derived directly from May 2026 users export via Omada Identity name mapping.