Knowledge risk brief
Generated 22 October 2026, 20:59 UTC across 223 people, indexed from codeowners, confluence, git, github, jira, org-csv, pagerduty, slack.
Summary
Where this company's knowledge rests on too few people. Each figure below jumps to the detail behind it.
Concentrated subjects (all 25)
Where an expert is marked not lately, they know the subject but have stopped working on it. That is a sharper finding than concentration alone: measured against a real project, a lead who had already stopped was less than half as likely to still hold the subject six months on.
A subject is concentrated when most of its expertise sits with one or two people. Bus factor is how few people together hold the majority of it, so a bus factor of one means a single departure takes the topic with it.
| Topic ▾ | Level ▾ | Bus factor ▾ | Top expert holds ▾ | Rests on ▾ | Who holds it ▾ | Also covers |
|---|---|---|---|---|---|---|
| kafka-lag | critical | 1 | 83% | Stanley Lewis | Stanley Lewis (83%), Dinesh White (17%) | |
| certificate-renewal | elevated | 2 | 75% | Stanley Lewis | Stanley Lewis (75%), Hector Wexler (12%), Chalky Rosetti (12%) | |
| vacation | elevated | 2 | 75% | Stephanie McGill | Stephanie McGill (75%), Holly Dunn (25%) | |
| cdn-caching | elevated | 2 | 69% | Stanley Varga | Stanley Varga (69%), Chalky Gilfoyle (15%), Holly Fring (15%) | |
| api-ratelimits | elevated | 2 | 69% | Lalo Vance | Lalo Vance (69%), Kevin Lewis (15%), Joey Butler (15%) | |
| health-benefits | elevated | 2 | 45% | Jared Capone | Jared Capone (45%), Stephanie McGill (37%), Gale Malone (16%), @simcorp/people-squad (2%) | |
| laptop-hardware | elevated | 2 | 67% | Monica Hanneman | Monica Hanneman (67%), Andy Malone (15%), Will Lewis (15%), Saul Varga (2%) | |
| kubernetes-deploys | elevated | 2 | 79% | Walter Bream | Walter Bream (79%), Jim Schroeder (21%) | |
| billing-retries | elevated | 1 | 98% | Stanley Lewis | Stanley Lewis (98%), Dwight Luciano (2%) | |
| sso-login | elevated | 1 | 98% | Stanley Lewis | Stanley Lewis (98%), @simcorp/developer-experience-squad (2%) | |
| search-indexing | elevated | 1 | 100% | Lalo Goodman | Lalo Goodman (100%) | |
| data-warehouse | elevated | 1 | 100% | Walter Schrute | Walter Schrute (100%) | |
| payroll-taxes | elevated | 1 | 100% | Michelle Schrute | Michelle Schrute (100%) | |
| contract-review | elevated | 1 | 96% | Carlton Halpert | Carlton Halpert (96%), @simcorp/legal-squad (4%) | |
| database-migrations | ok | 3 | 45% | Gale Malone | Gale Malone (45%), Walter Bream (23%), Michelle Pinkman (15%), Gavin Hamlin (15%), Angela Thompson (2%) | |
| mobile-releases | ok | 3 | 46% | Richard Belson | Richard Belson (46%), Steve Rosetti (23%), Erlich Hale (15%), Mike Bighetti (15%) | |
| office-facilities | ok | 3 | 47% | Todd Boetticher | Todd Boetticher (47%), Laurie Schroeder (22%), Meyer Wexler (16%), Jimmy White (15%) | |
| payment-webhooks | ok | 3 | 56% | Meyer Bratton | Meyer Bratton (56%), Lalo Goodman (24%), Kim Capone (20%) | |
| feature-flags | ok | 3 | 55% | Gale Schrader | Gale Schrader (55%), Walter Schrute (24%), Owen Fring (21%) | |
| expense-reports | ok | 3 | 55% | Gavin Flenderson | Gavin Flenderson (55%), Michelle Schrute (24%), Owen Dunn (21%) | |
| oncall-paging | ok | 2 | 76% | Steve Rosetti | Steve Rosetti (76%), Will Varga (21%), Kevin Salamanca (2%) | |
| hiring-interviews | ok | 2 | 78% | Laurie Schroeder | Laurie Schroeder (78%), Russ McGill (22%) | |
| terraform-state | ok | 2 | 71% | Erin Hale | Erin Hale (71%), Stanley Varga (29%) | |
| image-uploads | ok | 2 | 69% | Meyer Wexler | Meyer Wexler (69%), Lalo Vance (28%), Oscar Dunn (3%) | |
| onboarding-paperwork | ok | 2 | 72% | Will Salamanca | Will Salamanca (72%), Monica Hanneman (28%) |
Who is exposed (11)
The same finding read by person rather than by topic. Sole knowledge has no cover behind it at all. Led knowledge has others contributing, so it degrades rather than disappears.
Where a nearest candidate is named, that is a statement about the record and not about ability: of everyone indexed, this person starts closest to the work. Where nobody is named, nobody in the record stands out, which is the sharper finding of the two.
Lalo Goodman — 1 sole, 0 led
Would leave with them
search-indexing
Michelle Schrute — 1 sole, 0 led
Would leave with them
payroll-taxes
Walter Schrute — 1 sole, 0 led
Would leave with them
data-warehouse
Stanley Lewis — 0 sole, 4 led
Would lose its lead
billing-retries, certificate-renewal, kafka-lag, sso-login
Carlton Halpert — 0 sole, 1 led
Would lose its lead
contract-review
Jared Capone — 0 sole, 1 led
Would lose its lead
health-benefits
Lalo Vance — 0 sole, 1 led
Would lose its lead
api-ratelimits
Monica Hanneman — 0 sole, 1 led
Would lose its lead
laptop-hardware
Stanley Varga — 0 sole, 1 led
Would lose its lead
cdn-caching
Stephanie McGill — 0 sole, 1 led
Would lose its lead
vacation
Walter Bream — 0 sole, 1 led
Would lose its lead
kubernetes-deploys
One-person connections (8)
Subjects that only one person has ever done work across. They have their own experts, so nothing that counts experts per subject shows this: what rests on one person is not any of the subjects but the knowledge that they belong together, and whoever picks one up afterwards has no reason to look at the others. Where the crossings join up they are listed as the one body of work they are, since that is what would leave.
| Subjects | Only | People holding them | Worked on together |
|---|---|---|---|
| billing-retries + kafka-lag | Stanley Lewis | 3 | 40% |
| certificate-renewal + sso-login | Stanley Lewis | 4 | 40% |
| api-ratelimits + image-uploads | Lalo Vance | 5 | 33% |
| cdn-caching + terraform-state | Stanley Varga | 4 | 33% |
| data-warehouse + feature-flags | Walter Schrute | 3 | 33% |
| database-migrations + kubernetes-deploys | Walter Bream | 6 | 33% |
| expense-reports + payroll-taxes | Michelle Schrute | 3 | 33% |
| health-benefits + vacation | Stephanie McGill | 5 | 33% |
Joined work (1)
Subjects that get worked on together, where the same person leads every one of them. This is a heavier finding than a concentrated subject on its own: whoever takes the work over has to learn the whole of it at once, and a list of subjects one at a time never shows that.
Stanley Lewis — 4 joined subjects
billing-retries, certificate-renewal, kafka-lag, sso-login
How this was measured
Every figure here is arithmetic over the indexed graph, with no model involved and no judgement applied. A person's share of a topic is their weight in it against everyone else's. Bus factor counts the fewest people whose combined share passes a majority. A topic is critical when one person holds most of it, and elevated when two do.
The finding only sees what was indexed, which here was codeowners, confluence, git, github, jira, org-csv, pagerduty, slack. Knowledge that lives somewhere whodar was not pointed at does not appear, so this is a floor on concentration rather than a complete picture.