Subject: Re: WhatsApp data - what is behind the increase Hi Rick, Good question, and it makes me correct myself first: the link to the Operational Excellence Programme is my assumption, not something the data shows. The data shows when the step happens - July. The programme was announced around the same time and I assumed that was the trigger. That is timing, not proof. Also, the 70% is per person. Overall it is 81%, comparing the Jan-Jun average with Jul-Sep (81 to 147 messages a day). On your question, the data does answer it. Messages per day, Jan-Jun against Jul-Sep: Which group OPERATION 57 -> 113 (+99%). Handover +45%, HSSE +20%. Almost all of it sits in OPERATION. Which type Messages containing a question: 2.0 -> 2.4 (+24%) Statements, no question: 41 -> 77 (+90%) Which role OPS Manager 4.0 -> 3.1 -23% (posts less) GSV 26.6 -> 44.4 +67% (27% of the increase) SV4 5.4 -> 8.1 +49% (4%) SV3 and below 42.6 -> 87.6 +106% (68% of the increase) So it is not coming from management: you post less than before July. Two thirds of the increase comes from SV3 and below, and what they send is mostly photographs - 50 of their 88 messages a day. Across those 47 people there are 0.2 questions a day. Questions barely moved anywhere. The increase is people reporting what is happening, not asking or coordinating. Mostly cargo progress and equipment, on the quay. One more thing worth knowing: nearly half of the whole increase is people splitting one message into several. 31.8 of the extra 65.7 a day are sent by the same person within three minutes of their own previous message. What the data cannot tell us is why. One thing would settle it and I do not have it: vessel calls and tonnage per month. If throughput also stepped up in July, part of this is simply more work and the conclusion should change. The full breakdown is attached - by group, shift, role, subject and message type. I used the role list Operations gave me; senders who appear only as a phone nickname default to SV3 and below, and two of those are among the heaviest posters in the data, so if either is actually a GSV that split shifts. Kind regards, Leon