Buzz · Platform · BuzzInsights

More than four years. 567 people. An average message that reaches 61 of them.

That is one home health organization's Buzz deployment: 102,085 spaces, 3.1 million messages sent, 192 million received. BuzzInsights is the analytics surface where an administrator sees it.

WeBuzz Control Panel One home health organization · more than four years
88 79th percentile
Usage Index
61 98th percentile
Collaboration Index
94 100th percentile
Activity Index

Percentiles are positions among other organizations measured by BuzzInsights.

User Insights Collaboration Map View Lifetime Usage

Lifetime Usage

3,112,266 Messages sent One count per message
192,029,015 Received One count per recipient, per message
228,803 Reactions
567 Active users
102,085 Groups
123,999 Conversations
Percentiles are positions among other organizations measured by BuzzInsights. Rendered from one dashboard reading rather than a screenshot.

The number that matters

Not just more messages. More people connected to the conversation.

61 pairs of eyes per message. 98th percentile collaboration.

Among other organizations measured by BuzzInsights.

The measurement behind that phrase is reach: the average number of people a message is delivered to, rather than a count of who opened it.

When information is shared across a care team, its value extends past the sender and the recipient. The nurse picking up the next shift, the therapist seeing the patient on Thursday, the manager who will have to answer for the episode — all of them are downstream of something somebody sent on Monday. A space keeps that conversation available to the people responsible for delivering the care, rather than to the two people who happened to be typing.

Usage shows engagement. Collaboration shows that information travels, and that is what separates a platform from a messaging app.

98th percentile for Collaboration Index, among other organizations measured by BuzzInsights

An organization where an average message reaches two people has bought a messaging tool. One where it reaches sixty has changed the way it works. Reach is the number that tells those two apart.

What the indices measure

Two indices, and what each one counts.

Usage tells you people are turning up. Collaboration tells you how far what they send actually travels.

Usage Index

The gauge reports 88 for the organization in the panel above, which places it in the 79th percentile among other organizations measured by BuzzInsights. It is an index of how much each person uses the platform.

It answers the first question anybody asks of a platform they paid for: are the people who were given accounts using it, every day, across the whole organization.

Collaboration Index

The Collaboration Index measures the average number of people a message reaches. For the organization in the panel above it reads 61, which places it in the 98th percentile among other organizations measured by BuzzInsights.

A message that fans out to sixty-one people is doing a job that a message reaching two people cannot do.

The arithmetic

Received is the fan-out of sent.

Here is how the two message figures relate.

Divide received by sent and the answer is 61.7. That is not a coincidence sitting next to a Collaboration Index of 61. It is the same fact stated twice. Every message is counted once when it is sent and once more for each person it is delivered to, so the received figure is the fan-out of the sent figure rather than a separate body of traffic.

Which makes the honest statement of this organization's traffic 3.1 million messages sent, 192 million received, 195 million vectors through the delivery network.

The smaller number is the impressive one anyway. 3.1 million messages is what 567 people produced, an average of roughly five and a half thousand messages for every active person on the account. That is not a pilot. That is how an organization talks to itself.

Run it on your own shape

Change the assumptions. Watch the multiplication.

What a deployment of a given shape accumulates, on assumptions you can see and move. It is not a forecast of anyone's results.

Clinicians and staff with accounts 567
Patients on service 600
Average episode, in days 60
Years running 4
Messages per person per day 3.8 Default is the panel deployment's own lifetime rate for messages sent: 3,112,266 messages, 567 people, about four years.
People reached per message 61 Default is that deployment's observed reach.
  1. Admissions a year 600 patients on service × 365 days ÷ a 60 day episode 3,650
  2. Spaces a year one space per episode, so the same figure — that assumption is yours to disagree with 3,650
  3. Spaces so far 3,650 a year × 4 years running 14,600
  4. Messages a year 567 people × 3.8 messages a day × 365 days 786,429
  5. Messages so far 786,429 a year × 4 years running 3,145,716
  6. Deliveries so far 3,145,716 messages × 61 people reached 191,888,676
  7. Vectors through the delivery network 3,145,716 sent + 191,888,676 received 195,034,392
Deliveries per user per day 235.6

195,034,392 vectors ÷ 567 people ÷ 1,460 days in the period (4 years × 365)

Modeled from your inputs, not the Usage Index the dashboard reports: on the shape this opens at, the gauge reads 88 and this arithmetic returns 235.6. Only the per-person rate and the reach move it — the headcount and the period cancel out of the division.

Here is the check. Set to the shape of the organization in the panel — 567 people, its own message rate, four years, reach 61 — the projection returns 3,145,716 sent against 3,112,266 reported, and 191,888,676 received against 192,029,015 reported. Both within about one percent.

What successful adoption looks like

A Collaboration Index like that usually means the decision-makers are in the room.

The pattern in the deployments that reach these numbers is not a better rollout plan. It is who is inside the environment.

In most organizations, leadership sits outside the communication and receives an account of it. Somebody attends the conversation, writes it up, and carries the write-up upward; by the time a decision comes back down, the thing it was about has moved, and the person who has to act on it is reading a summary of a summary.

In the organizations with a Collaboration Index like the one in the panel, leadership and the other stakeholders are in the Buzz environment with the people doing the work. Nothing has to be relayed, because nobody is outside the room. Reach is the measurable trace of that: a message delivered to sixty-one people is a message that did not need to be summarized for anybody.

What makes that reach possible

  • Categories — a space belongs to a kind of work rather than to a person, so the right roles are in it by default instead of being remembered and invited one at a time.
  • Cloning — a space that works becomes the pattern for the next one, so the hundredth episode is set up like the first rather than like whoever happened to open it.
  • History for somebody newly added — a person added to a space can be given the conversation that came before, where your organization has chosen to allow it, so joining does not mean starting from nothing.
  • Adding staff in bulk — a whole discipline or shift goes into a category at once, which is the difference between a policy and somebody's to-do list.

BuzzSpace is where these are described in detail, including who may set them.

What it tells you

Three more things an administrator cannot otherwise know.

Each of them is the answer to a question that normally gets settled by opinion.

Whether the platform is adopted

567 people, 3.1 million messages, more than four years. Volume per person and the count of active accounts answer the adoption question directly, which is worth having on the day somebody asks what the platform is doing for the organization.

Where the platform is being used, against where you expected it

Totals raise that question, and the dashboard carries drill-downs as well as totals: User Insights, Collaboration Map and View Lifetime Usage. An administrator who expected the traffic in intake and finds it in scheduling has learned something about their own organization.

Evidence at renewal

At renewal, somebody has to argue that the investment is load-bearing. Volume, active people and reach are the same numbers whoever is in the room, and they are available before the conversation rather than after it.

Privacy

This reports on usage, not on content.

BuzzInsights reports on usage rather than on content. The figures are counts and averages — messages sent, messages delivered, people active, groups and conversations in existence — and not the text of anything anybody wrote.

And the platform's access rules do not change because an administrator is looking at a chart. What a person is entitled to see inside Buzz is the same before and after this page is opened.

If your privacy officer wants the model underneath that — how message content is protected, which operations decrypt it on our servers and why, and the business associate agreement that governs all of it — it is set out in full on the security page.

Buzz security and compliance is written so that it can be quoted verbatim in a vendor risk assessment.

Questions this dashboard gets asked

Is the received figure the number of messages that organization sent?

No. It sent 3,112,266 messages. The received figure counts each of those once for every person it was delivered to, so it is the fan-out of the sent figure rather than a second, larger pile. Divide one by the other and you get 61.7, which is the Collaboration Index on the middle gauge. The honest statement is 3.1 million messages sent, 192 million received, 195 million vectors through the delivery network.

Is the Collaboration Index a readership number?

No. Sixty-one is reach — the average number of people a message is delivered to. Readership is a different measurement and this is not it.

What are the percentiles compared against?

Other organizations measured by BuzzInsights. A percentile here tells you where a deployment sits among the deployments we can see.

Where do the projection's defaults come from?

From the deployment in the panel. The reach default of 61 is its observed figure, and the per-person rate is its own lifetime rate for messages sent: 3,112,266 messages across 567 people over about four years. Set the controls to that shape and the projection returns its reported totals to within about one percent.

Can the projection tell us what our Usage Index would be?

It computes deliveries per user per day from your inputs — vectors divided by people divided by days. On the shape it opens at that returns 235.6, while the gauge reports 88 for the same deployment. The gauges report a real deployment; the projection models the shape you give it.

Whose figures are the ones on this page?

One home health organization's, covering more than four years of use. The numbers are reproduced exactly as the dashboard reports them.

Will this tell us what our clinicians said to each other?

BuzzInsights reports on usage rather than on content. What it shows are counts and averages: messages sent, messages delivered, people active, groups and conversations in existence. And opening it changes nothing about what anyone is entitled to see inside Buzz. The encryption and access model itself is on the security page.

Can we see this for our own deployment?

Yes — an administrator opens BuzzInsights on their own organization and the figures are that organization's.

Start here

Tell us how many people your average message reaches.

Most organizations have no idea. Bring us your own deployment, or look at this one with us, and we will read a dashboard line by line. Twenty minutes, your administrator, our arithmetic.