David Wald writes about workers’ compensation and risk management, focusing on how employers can keep claims, safety work, and reporting organized and visible.
7.7K followersRisk managementBased on 10 posts · latest Oct 2026
David Wald is most useful for explaining workers' comp and risk operations through concrete claims, handoff, and reporting problems.
Best for
A workers' comp technology company reaching risk and safety leaders at multi-location employers.
Not for
A national carrier or managed-care brand seeking broad Fortune 500 executive awareness with scripted product-first posts.
Key takeaways
Improvised spreadsheets and scattered incident reports make a clear cost picture hard to produce.
A claim can go quiet when the person tracking it leaves.
A national average can conceal sharply different state medical-payment trends.
Check first: Confirm follower job function, employer size, seniority, and recent post results before committing budget.
Main ideas
Small fixes can add up to a system no one can see clearly · Programs should not depend on one person being constantly available · A claim needs active follow-up, especially when roles change
David Wald writes about workers’ compensation and risk management as operational work: keeping claims moving, safety responsibilities covered, and cost data useful.
Their posts show how ordinary workarounds can become larger problems—scattered spreadsheets that obscure a program’s costs, a quiet claim missed during a staff handoff, or one person left to manage every insurance certificate.
Wald makes risk-management problems concrete by tracing how they develop and what they leave out of view.
In one post, they connect improvised spreadsheets and scattered incident reports to the difficulty of producing a clear cost picture.
In another, they use WCRI medical-payment benchmarks to show why a multi-state employer’s national average can conceal sharply different state trends.
They also focus on continuity and capacity: a claim can go quiet when the person tracking it leaves, while a small organization may rely on one risk manager to handle vendor certificates and safety tasks.
These examples help readers assess whether claims, responsibilities, and reporting remain visible when conditions change.
Wald argues that workers’ compensation and risk programs break down when information and responsibility are scattered.
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Small workarounds, single-person dependencies, and weak handoffs make costs and problems hard to see; they favor systems that keep information visible and work accountable.
Small fixes can add up to a system no one can see clearly
Wald argues that operational problems often grow through reasonable, quick workarounds rather than one bad decision.
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Their combined cost becomes visible later, when a business needs reliable reporting, faces renewal, or loses the person who knows how the pieces fit together.
In one post, a missing intake field leads to a spreadsheet column, then a second spreadsheet for carrier reports, while incidents arrive through email, texts, and sticky-note photos.
When a CFO asks for cost of risk by location, three people take two weeks to reconcile information held in six places.
Wald points to shared claims and incident data as an alternative.
Programs should not depend on one person being constantly available
Wald draws attention to risk work that depends on an individual’s memory, phone, or spare time.
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They see that dependence as an operational weakness, especially for smaller organizations without backup or time to build consistent processes.
Wald describes a risk manager at a small municipal office who handles vendor insurance certificates and expiration dates without a centralized system or backup.
Safety inspections happen ad hoc because she has no time to set a schedule.
They have encountered similar situations in construction, property management, and county governments.
A single national trend can hide meaningful differences between states
Wald argues that a blended medical-cost figure can mislead employers with operations in several states.
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They use industry research to make the case for reporting and budgeting by jurisdiction rather than assuming one average describes every part of a program. The figures and research are from WCRI, which Wald cites, not Wald’s own dataset.
In their discussion of WCRI’s CompScope Medical Benchmarks, Wald notes that medical payments per claim rose at different rates across states from 2022 to 2025, with California rising faster and Florida slower than most study states. They describe a risk director with operations in four states who has one budget but faces four different medical trends.
This is the clearest statement of David Wald's argument about claims operations and the right first post for a newcomer.
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It answers "why does this problem exist at all?" without requiring prior knowledge of workers' compensation software.
Wald traces how a program accumulates workarounds, not one bad decision.
A claim arrives and the intake form has no field for it, so someone adds a spreadsheet column.
A carrier wants a different report format, so a second spreadsheet pulls from the first.
A site manager cannot access the system, so incidents arrive by email, then text, then a photo of a sticky note, and someone creates a folder for them.
When the CFO asks for total cost of risk by location, three people spend two weeks answering because the data sits in six places that do not match.
Each fix is cheap, fast, and requires no approval, so its cost never appears in any single decision.
It surfaces later, when the person who built the pile leaves, a large claim lands, or renewal arrives and the underwriter wants numbers nobody can pull together.
Wald proposes addressing the underlying problem the first time it appears, so incidents, claims, and reporting live in one place.
For brands planning a campaign
For a pitch about centralizing claims data, this is the anchor post.
It frames the buying problem as accumulated patches, not a missing feature, so a collaboration should address each entry point the post names — intake, carrier reporting, site-level access, executive reporting — rather than lead with a generic one-system claim.
The closing question — what was the reader's last band-aid, and how big is the pile? — is a ready-made comment prompt.
This post answers the practical follow-up to the band-aids argument: what goes wrong, in detail, when the person running the program leaves.
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It is Wald's best example of working from a specific reported case rather than a general principle.
A safety director left, and workers' compensation landed on the HR director's desk.
Months later, she found claims that should have been closed, including one that had sat for roughly three months without physical therapy or follow-up.
Her tracking method was copying and pasting into a spreadsheet.
The employer was a multi-location business services company, and Wald notes the same pattern in construction, property management, and staffing.
He names three activities that stop when a role changes hands: calling the carrier for an update, noticing a claim with no activity in 30 days, and checking whether the injured worker is getting care.
None of these appear on a loss run until the reserve moves, and a drifting lost-time claim tends to get more expensive through longer duration, more indemnity, and greater chance of attorney involvement.
Wald's fix is not a better handoff memo but making every open claim visible to whoever takes the chair, with quiet claims flagged automatically.
For brands planning a campaign
This is the strongest piece for a handoff-and-visibility message aimed at multi-location employers.
It lays out a failure sequence a campaign can address — role change, quiet claims, reserve movement, higher cost — and shows that the audience already tracks these problems in spreadsheets.
A collaboration could build on the closing question: who would know on Monday which claims had gone quiet?
This shows the low-resource end of the audience Wald writes for.
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It is worth opening because it explains why so many risk programs look understaffed rather than badly run, and it is the clearest example of the people Wald talks to for material.
Wald describes a risk manager at a small municipal office who takes vendor insurance-certificate calls at all hours because there is no one else.
She is the sole point of contact for every vendor certificate and expiration date across the organization, with no centralized system or backup, and learns of a lapsed certificate after someone else already has.
Safety inspections happen on an ad hoc basis, in her words, because there is no recurring schedule and no time to build one.
Wald describes this as typical for organizations under a certain size: the job title says manager, but the actual job is answering the phone.
He has met versions of this person in construction, property management, and county governments, almost always working alone and never staffed for what they actually do.
For brands planning a campaign
Useful for reaching smaller employers and public entities, where the buying constraint is one person's capacity, not process design.
A campaign can position certificate tracking and recurring inspection scheduling as adjacent, low-friction entry points.
The closing question about what would happen if this person took a real vacation is a natural engagement hook for that segment.
This is the post to start with if you want to see that Wald reads primary industry data, not just anecdotes.
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It answers how Wald handles numbers and how Wald turns a research release into an operational argument.
Wald reports on WCRI's CompScope Medical Benchmarks, covering 27 states that account for roughly 68% of workers' compensation benefit payments in the country.
Medical payments per claim rose 4 to 8 percent a year in most states from 2022 to 2025; in California they rose 12 percent in two years, while Florida was slower than most study states.
He quotes WCRI's VP of research, Sebastian Negrusa, explaining that payments declined or held stable during the pandemic and prices rose consistently from 2023.
Wald argues that a multi-state risk director runs one program and one budget but faces four different medical trends.
So when a CFO asks about medical inflation, the honest answer is "which state?"
Most programs cannot produce that split; they have total incurred by year and the carrier's word for the rest, so the conversation defaults to a national figure that describes none of the actual exposure.
His conclusion: the states are diverging, not converging.
For brands planning a campaign
This post gives a data-literate, benchmarking angle for a claims-data campaign and supports state-level segmentation of reporting.
Any collaboration should treat the figures as WCRI's, credited as Wald credits them, rather than as Wald's own dataset.
It also identifies a concrete reporting gap — splitting medical trend by state — that a product message can address directly.
Recurring concerns: visibility, ownership, and infrastructure4
Patchwork claims and safety systems create hidden operational cost1
Multi-state medical trends need jurisdiction-level reporting1
Small risk teams run on one person’s availability1
Claims stay open without an owner; handoffs need automatic visibility1
Patchwork claims and safety systems create hidden operational cost
David Wald describes how workers’ comp programs accumulate small fixes: someone adds a spreadsheet column for a new claim type, builds a second spreadsheet for a carrier report, starts taking incidents by email, text, or a photo of a sticky note, and creates folders for each workaround.
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Each fix solves an immediate problem cheaply, but the total cost of risk becomes hard to see or hand off.
When a CFO asks for cost of risk by location, the answer can take three people and two weeks because the data lives in six places and none of them match.
Wald points to connective infrastructure as the alternative: a centralized data repository and a workflow tracking platform that prevent band-aids in the first place.
Extended metaphor (“mountain of band-aids”) followed by concrete workplace fixes and a call for infrastructure.
For brands planning a campaign
A workers comp technology company can collaborate with David Wald on content that names the hidden cost of fragmented intake and reporting, then shows what centralized claims data and handoff-ready systems change. This speaks directly to the need to centralize claims data and program handoffs.
Multi-state medical trends need jurisdiction-level reporting
David Wald covers WCRI’s CompScope Medical Benchmarks, noting that medical payments per claim rose 4 to 8 percent a year in most states from 2022 to 2025, while California rose 12 percent in two years and Florida was slower than most study states.
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Their point: a multi-state program reporting one medical trend line describes none of its actual exposure.
A risk director with operations in four states has one program and one budget but four different medical trends.
The national average combines jurisdictions moving at different speeds, so budgeting to the average is wrong in every state.
Study citation, a risk-director example, and a clear punchline about averaging across diverging states.
Florida was slower than most study states, so the trend is not uniform; the page should not treat all states as moving together.
For brands planning a campaign
A workers comp technology company can use this theme for a collaboration on multi-state reporting, jurisdiction-level benchmarks, and why a blended national figure fails budget conversations. It supports the case for tools that split claims and medical trend data by state.
David Wald describes a risk manager at a small municipal office who takes vendor insurance-certificate calls at all hours because there is no one else.
Read more
She is the sole point of contact for every vendor certificate and expiration date across the organization, with no centralized system or backup.
When a certificate lapses, she finds out after someone else already has.
Safety inspections happen ad hoc because there is no recurring schedule and no time to build one.
Wald says this is typical for organizations under a certain size: one person holds the whole thing together through sheer availability, and the biggest risk in many programs is one person’s phone.
Persona-led interview description, pattern generalization across construction, property management, and county governments, and a closing question that invites readers to test their own program.
For brands planning a campaign
A workers comp technology company can collaborate on the staffing reality behind risk programs—backup coverage, centralized certificate tracking, and recurring safety schedules—and position tools as ways to reduce single-point dependency. This is a softer, human entry point to the same centralization message.
Claims stay open without an owner; handoffs need automatic visibility
David Wald tells the story of a safety director leaving and workers’ comp landing on the HR director’s desk.
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Months later, she found claims that should have been closed, including one that sat for roughly three months with no physical therapy and no follow-up.
Her current system involved copying and pasting into a spreadsheet.
Wald says the pattern repeats in construction, property management, and staffing: a claim does not need an owner to stay open; it needs an owner to close.
When a role changes hands, three things stop—someone calling the carrier for an update, someone noticing a claim with no activity in 30 days, and someone asking whether the injured worker is actually getting care.
The fix is to make every open claim visible to whoever sits in the chair next, with quiet claims flagged automatically.
Narrative case study, quoted language, a three-item operational checklist, and a closing question about who would know which claims had gone quiet.
For brands planning a campaign
This supports a LinkedIn collaboration on program handoffs, claims visibility, and automatic flagging of quiet claims. A technology brand can pair David Wald’s operational narrative with a practical handoff checklist or dashboard tour for multi-location employers.
Recurring concerns: visibility, ownership, and infrastructure
Across the four posts, David Wald returns to a consistent set of concerns: fragmented claims and safety data, programs that depend on one person, handoffs that fail when roles change, and reporting that cannot answer basic questions.
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The posts use workplace vignettes, operational checklists, data commentary, and direct questions. They do not present sponsorship offers, brand relationships, or campaign formats.
Cross-post analysis of recurring arguments, formats, and reader questions.
Before planning a campaign, ask for publication dates, preferred formats, and any existing brand relationships.
For brands planning a campaign
A workers comp technology company can position David Wald as a consistent voice on visibility and ownership, not just claims cost. A collaboration series could connect claims centralization to real risk-leader pain: handoffs, multi-state trend splits, quiet claims, and single-person risk functions.
Wald's saved posts document no sponsorship, affiliate, client, employer or owned-business relationship with any named company.
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The writing is promotional in places: one post argues for centralized claims infrastructure and closes with "That's why we do what we do."
This suggests Wald writes on behalf of a workers' comp technology or services provider, but the business is not named.
Ask Wald to clarify the relationship.
The one organization named in a commercial-adjacent context is the Workers Compensation Research Institute, cited as a data source rather than a partner.
Workers Compensation Research Institute
Mention
Wald draws on WCRI's CompScope Medical Benchmarks, which cover 27 states and roughly 68 percent of U.S. workers' comp benefit payments, to report that medical payments per claim rose 4 to 8 percent a year in most states from 2022 to 2025 and 12 percent in California over two years.
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The post also quotes WCRI's vice president of research, Sebastian Negrusa. WCRI is presented as the source of the figures, not as a sponsor, client or partner.
David Wald writes about operational failures that build up inside workers' compensation and risk programs.
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A claim type arrives with no field for it, so someone adds a spreadsheet column.
Incidents start arriving by text and photos of sticky notes.
A program works only because one person answers the phone at all hours.
The argument is consistent across the posts: each fix is cheap, fast, and approved by no one.
The combined cost shows up later when a claim drifts, a role changes hands, or an underwriter asks for numbers nobody can produce.
The quickest way in is the band-aid post, which lays out the whole case in one narrative.
From there, the post about the risk manager who handles every vendor insurance certificate at a small municipal office shows the pattern at one person's scale, while the claims-handoff post shows what it costs when the person chasing claims leaves.
The post on WCRI's medical benchmarks is the most data-driven of the four and the clearest example of Wald using outside research to make an operational point about multi-state reporting.
Read the posts as a series rather than for a single takeaway.
Each closes with a question about the reader's own program, making them useful as a running audit of how claims, incidents, and reporting actually flow.
For a similar diagnosis of sales, marketing measurement, or HR compliance, the creators below work in comparable territory.
Workers' compensationRisk managementClaims managementWorkplace safetyMulti-state operationsRisk and claims technologyLinkedIn postsShort workplace case narrativesRisk managersHR leadersSafety leaders
Rosas writes the same kind of post Wald does: an anonymized workplace case with specific numbers, followed by a rule that could have prevented the failure.
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The post about losing a 9K client because the agency knew only one person there makes the same point as Wald's post about claims that go quiet when a role changes hands: a process held together by one person fails when that person leaves. Both replace the missing person with a structural check.
Rosas works on agency sales cycles and client retention, so the examples focus on deals, meetings, and account relationships, with fixes aimed at shortening sales cycles or adding contacts. Wald focuses on workers' compensation and risk programs, where fixes address claim visibility, carrier follow-up, and reporting by jurisdiction.
Hutchinson argues that companies cannot tell what generates revenue because nobody owns the number and two systems disagree.
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The fix is ownership and regular reconciliation, not more spend.
Wald makes the same case about risk data: a patchwork program looks fine until someone has to produce a figure.
The answer is a system someone is accountable for, not another workaround.
Both treat measurement hygiene as an operating discipline.
Hutchinson draws on B2B marketing and revenue measurement across CRMs and ad platforms. Wald draws on incident intake, carrier reports, loss runs, and claim follow-up, applying the same diagnosis to a different function with different failure signs.
Diaz's post about a 200-employee client with onboarding spread across email threads and offer letters in a spreadsheet echoes Wald's band-aid argument: records scattered across tools mean no audit trail and no defensible answer when a dispute or regulatory question arises.
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Both write for employers that have outgrown their workarounds and are deciding what to centralize.
Diaz focuses on HR compliance and hiring regulation, including state AI and background-check rules.
One post presents a named software partnership with a preferred vendor.
Wald focuses on workers' compensation and risk programs; ask whether they offer a vendor partnership or sponsorship format.
For a workers' comp technology campaign aimed at risk and safety leaders at multi-location employers, David Wald's posts give one measured audience figure, a clear topical signal, and nothing that settles who actually follows or reads David Wald.
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LinkedIn lists 7,694 followers for the account, observed on 8 October 2026 (a snapshot; follower counts move).
Beyond that number, David Wald's posts do not say anything about followers' employers, job functions, seniority, location, or age.
What the posts show is who the writing is built for.
Each of the four describes a specific workplace role handling workers' comp: a risk director running operations in four states who cannot split medical trend by state; an HR director who inherited comp when the safety director left and is now copying and pasting into a spreadsheet; a sole municipal risk manager fielding certificate-of-insurance calls at all hours; and the staff who each added another spreadsheet, folder, or text thread as a workaround.
That is content appeal — the subjects and framing David Wald uses — not proof that the people following the account hold those jobs.
Treat it as a reasonable hypothesis about audience intent, not measured composition.
Two of the four posts sit directly on the subject of centralizing claims data and program handoffs, and both are recent.
"Nobody decides to build a mountain of band-aids" (29 September 2026) argues that incidents, claims, and reporting should live in one place from the start rather than being patched.
The handoff post (6 October 2026) asks who would know on Monday which claims had gone quiet if the safety or risk lead left on Friday.
The other two — statewide medical-cost divergence (27 September 2026) and one person holding an entire program together (28 September 2026) — round out the picture.
All four were published between 27 September and 6 October 2026.
For the proposed LinkedIn collaboration on centralizing claims data and program handoffs, the fit is editorial before it is demographic.
The subject matter lands squarely in the buyer's category, and the writing is operationally concrete in the way practitioners respond to.
David Wald's posts cannot tell you whether those 7,694 followers concentrate in multi-location employers, which titles they hold, or how senior they are.
Next step before committing budget: ask for (1) any audience survey or first-party data describing follower job function, employer size, and seniority; (2) whatever platform demographics the account can access, such as location, industry, and company size; and (3) recent results — impressions, comments, profile visits — for posts on claims-data centralization and program handoffs specifically, so delivery can be compared against the topics the collaboration would cover.
David Wald's posts do not describe a sponsorship program, media kit, rate card, or partnership inquiry route.
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The four posts offer practitioner commentary on workers' compensation and risk operations: spreadsheet workarounds that accumulate into unmanageable claims data, medical cost trends that diverge by state, and open claims that drift when the person chasing them leaves.
One post closes with "That's why we do what we do," suggesting they write from inside a workers' comp or risk software provider, but the posts do not name the company, describe outreach to creators, or offer sponsored placements.
For a buyer planning a LinkedIn collaboration, there is no published format, approval process, disclosure practice, or pricing to plan against.
Confirm deliverables, timeline, editing rights, and disclosure before finalizing a collaboration, and ask directly whether they accept sponsorships.
A workers' comp technology company wants to reach risk and safety leaders at multi-location employers and proposes a LinkedIn collaboration on centralizing claims data and program handoffs.
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Decision: accept, with commercial terms negotiated directly rather than taken from a published package.
The subject match is unusually tight for a four-post sample.
Two posts carry the campaign need almost literally.
“Nobody decides to build a mountain of band-aids” names the exact entry points a centralization pitch has to address: a claim type with no intake field, a carrier wanting a different report format, a site manager who cannot access the system, and a CFO asking for cost of risk by location while the data sits in six places that do not match.
It closes by asking readers what their last band-aid was and how big the pile is—a comment prompt built into the post.
The handoff post lays out the failure sequence for multi-location employers: a safety director leaves, workers' comp lands on the HR director's desk, one claim sits roughly three months without physical therapy or follow-up, and the tracking method is copy and paste into a spreadsheet.
It names the three activities that stop when a role changes hands and explains why a quiet lost-time claim tends to get more expensive through longer duration, more indemnity, and greater chance of attorney involvement.
It ends with a direct question: if your safety or risk lead left on Friday, who would know on Monday which claims had gone quiet?
The two other posts widen the same message without diluting it.
The municipal risk manager post reaches smaller employers and public entities, where the constraint is one person's availability rather than process design, and makes certificate tracking and recurring inspection scheduling adjacent talking points.
The medical benchmarks post shows David Wald working from primary industry data: the figures come from WCRI's CompScope benchmarks and are credited to WCRI and its vice president of research.
The operational point is that one program and one budget can face four different state trends, so a single blended trend line describes none of the exposure.
LinkedIn lists 7,694 followers as of 8 October 2026, but does not publish their employers, titles, seniority, or location.
Before committing budget, ask for follower demographics to confirm that the audience includes people who run claims and safety programs at multi-site employers.
Three other points to settle before committing.
No media kit, rate card, sponsorship format, or inquiry route is published, so agree on deliverables, editing rights, disclosure language, and timeline directly.
One post closes with “That's why we do what we do,” placing David Wald inside a workers' comp or risk software provider.
A sponsoring brand in the same category should disclose the paid relationship plainly and check for a direct conflict; a complementary vendor in claims intake, safety inspection, or certificate tracking has an easier path.
Finally, no impressions, comment counts, or results from past collaborations are published.
Treat the first placement as a learning test and set targets before it runs.
When to choose a specialist
A national workers' comp carrier or managed-care brand wants broad awareness among Fortune 500 risk executives, delivered as scripted, product-first posts written to brand messaging and a corporate tone.
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Decision: decline this campaign aimed at Fortune 500 risk executives, based on the posts, not on any claim about what David Wald would accept.
Four reasons are evident in the posts.
The writing addresses practitioners running the work, not enterprise executives: a risk director whose operations span four states, an HR director who inherited comp when the safety director left, a sole municipal risk manager taking certificate calls at all hours, and unnamed staff patching systems with spreadsheets, folders, and text threads.
The posts do not show a large-enterprise executive readership, and follower composition is not published.
Ask for follower job function, employer size, and seniority before reconsidering the audience fit.
The craft is the second problem.
Every post works through a specific workplace scene, first-person reporting of a conversation, a short list of operational steps, and an open question that invites readers to argue or compare notes.
Scripted corporate messaging would remove the elements that make the material credible to its readers.
Third, no format, approval process, disclosure practice, or pricing is published, so a campaign that assumes legal-reviewed scripted copy has nothing to plan against.
Fourth, the strongest data moment in the sample is third-party: the medical cost figures are WCRI's CompScope benchmarks, credited to WCRI and its vice president of research, not David Wald's own dataset.
Creative that assumes proprietary benchmarks would misrepresent the post, and a carrier using those numbers would be advertising against a competitor's category framing.
The category conflict noted in the good-fit case is sharper here.
The posts place David Wald inside a workers' comp or risk software provider, so a carrier asking for product-first promotion is asking a vendor-adjacent voice to promote a different part of the same market.
That sourcing question cannot be settled by copy testing.
Recruitment or employer-branding content aimed at job seekers, adjusters, or claims talent is another weak fit.
Every post addresses buyers and operators deciding how to run a program, not candidates deciding where to work; the writing would have to change audience entirely, not just topic.
Before reconsidering, ask for follower job function, employer size, and seniority, along with results for posts on claims centralization and handoffs.
If that information shows an enterprise executive readership, revisit this judgment.
A worked campaign example
Angle: “Who owns an open claim?” Build one LinkedIn post for a workers' comp technology brand around the handoff problem, using the shape David Wald already writes in: one reported scene, one short list of what stops, one plain explanation of why it costs more, and one closing question the audience can answer from their own program.
Agree on deliverables up front; none are published as an existing offer. Propose one text post of roughly 300 to 500 words written by David Wald; permission for the brand to publish the post's three-item checklist as a one-page download in its own channels; and the brand's claims operations lead answering practical questions in the comments for the first two hours, identified as the sponsor.
Draft flow.
Open with the scene: a safety director leaves on a Friday and workers' comp lands on the HR director's desk; months later, she finds claims that should have closed, including one sitting about three months with no physical therapy and no follow-up.
Then use the list as stated in the post: no one calling the carrier for an update instead of waiting for one, no one noticing a claim with no activity in 30 days, and no one asking whether the injured worker is getting care.
Explain in one paragraph that none of this shows up on a loss run until the reserve moves, and a drifting lost-time claim rarely gets cheaper.
Then make the operational test: the fix is not a better handoff memo, but making every open claim visible to whoever takes the chair next, with quiet claims flagged automatically rather than found by hand.
Close with the post's question: if your safety or risk lead left on Friday, who would know on Monday which claims had gone quiet?
What the brand supplies—and does not.
It supplies the answer to the closing question as a comment, and the downloadable checklist.
It does not rewrite the opening scene, insert product names into the narrative paragraphs, or restate the band-aids metaphor as its own.
Keep the product claim narrow and verifiable: for example, that the platform flags open claims with no activity in 30 days to a named owner, the specific gap the post defines.
Measure comment answers to the closing question, profile visits in the following week, checklist downloads, and whatever the brand's own attribution tracks. No impressions, comment counts, or prior collaboration results for David Wald are published, so set targets from this first placement and compare the next one against it rather than an assumed industry figure.
Disclose the paid relationship in the post and comments per the platform's requirements.
Credit WCRI if any medical trend figures appear, and do not present them as David Wald's own data.
Keep the disclosure of David Wald's employer situation consistent with the posts, which place them inside a workers' comp or risk software provider, and avoid asking for comparisons to that employer or named competitors.
Agree in advance what the brand will measure if results are needed for a purchasing decision.
For the same campaign decision—a workers comp technology company reaching risk and safety leaders at multi-location employers on centralizing claims data and program handoffs—choose Gilberto Rosas only if the campaign is reframed for owners of B2B service agencies, with a sales-cycle and account-retention offer.
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The posts address the same buyer task at the agency-owner level: an agency owner at 34K a month with a seven-week cycle, three calls, and a follow-up problem.
The fix is a shorter path to payment—one call, a pre-call form, three pricing options, a proposal walked through on screen, and a deposit link sent while the prospect is still on.
Days to close moved from 46 to 11 and close rate rose five points.
A second post covers retention: an agency owner at 41K a month lost a 9K client in one email after the client contact left.
The rule now is three names on every account by day 30, each hearing monthly; two later departures did not cost the account.
For a campaign about shortening a service sale or hardening account relationships, Rosas is the closer match.
For a workers comp technology campaign, the tradeoff is topic and audience.
Rosas's posts focus on agency owners' sales processes and client relationships, not claims intake, handoffs, or risk and safety leaders at multi-location employers.
They show no risk, safety, or workers comp program responsibility, and the posts publish no follower or audience information.
A brand would be buying a B2B sales and retention voice, then asking it to speak about claims centralization—a topic the posts don't demonstrate.
The practical loss is the specific entry points Wald's posts already cover: unmatched intake fields, carrier report formats, site-manager access, cost of risk by location, and quiet lost-time claims after a role change.
For the same campaign decision—a workers comp technology company reaching risk and safety leaders at multi-location employers on centralizing claims data and program handoffs—choose Kris Hutchinson only if the campaign is reframed to make B2B marketing and revenue numbers trustworthy.
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The posts address the same buyer task at the measurement layer: a company was told its conversion rate was 80 to 85 percent, but its own numbers said 35 to 40 percent.
Two honest numbers used different denominators (sold versus delivered), and the real constraint turned out to be supply, not sales.
The second post reports looking under the hood at hundreds of B2B companies and finding that ad platform and CRM numbers don't match, tracking is built once at launch and breaks with each change, and great companies treat marketing numbers like books—someone owns them, reconciles them on a schedule, and chases disagreements that week.
For a campaign about revenue attribution, CRM hygiene, or reconciling conflicting performance reports, Hutchinson is the closer match.
For a workers comp technology campaign, the tradeoff is domain and audience.
Hutchinson's posts focus on B2B marketing measurement and revenue definitions, not claims data, medical trends, or program handoffs.
They address marketers, RevOps, and operators trying to trust their funnel numbers, not risk managers, safety directors, or multi-location employers.
A sponsor would get a sharp definitions-and-reconciliation message that must be translated into workers comp claims terms—a translation the posts don't demonstrate.
Wald's posts already speak the operational language a campaign about centralizing workers comp claims data and program handoffs depends on: intake gaps, carrier reports, a safety director leaving, and claims going quiet.
For the same campaign decision—a workers comp technology company reaching risk and safety leaders at multi-location employers on centralizing claims data and program handoffs—choose Andrea Diaz only if the campaign is reframed for HR compliance and HR systems at multi-location employers.
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The posts show two sides of that work.
One covers converging state rules on AI and background checks in hiring—Illinois HB-3773, amended California FEHA regulations, Washington screening limits starting July 1, and Philadelphia—and the common legal question of disparate impact, whether a human or an algorithm does the filtering.
The other is a client story: nearly 200 employees, no HRIS, onboarding in email threads, offer letters and PTO in spreadsheets, I-9s in a folder, and the compliance exposure that follows.
The fix is a proper HRIS; Diaz names Rippling as a preferred provider and offers referral pricing.
For a campaign aimed at HR leaders, founders, or operators dealing with hiring compliance or HR system sprawl, Diaz is the closer match.
For a workers comp technology campaign, the tradeoff is audience and topic.
Diaz's posts focus on HR compliance and HRIS, not claims intake, medical cost trends, or claim handoffs.
Their audience is HR leaders and founders, not risk and safety leaders at multi-location employers.
The second post documents a commercial relationship with an HRIS provider, a direct consideration for an HR technology sponsor and a signal that the creator works with vendor partnerships.
For a workers comp technology brand, that is adjacent at best; the claims-centralization message would have to be rebuilt for an HR audience rather than a risk audience.
Wald's posts already cover the operational claims scenarios a campaign about centralizing workers comp claims data and program handoffs needs.
This page draws on four LinkedIn posts by David Wald.
The posts cover a claims and incident system assembled from spreadsheets, email, texts, and sticky-note photos; a workers' compensation handoff after a safety director left and the claim that sat roughly three months without physical therapy or follow-up; a solo risk manager at a small municipal office handling every vendor insurance certificate; and WCRI's CompScope Medical Benchmarks on medical payments per claim across 27 states.
Wald's descriptions of those scenes and the numbers cited are all drawn from the post text.
Post dates are not stated in most sections; dates from 27 September to 6 October 2026 appear in the audience section, and follower count of 7,694 is observed as of 8 October 2026.
Nothing in the posts measures the followers' employers, job titles, or seniority, and no media kit, rate card, sponsorship announcement, or past campaign results are published in the posts here.
Where those gaps affect a judgment, the affected section says so instead of filling the gap.
WCRI is presented as a source of data, not as a sponsor or client, and the absence of a published sponsorship offer does not show that sponsorships are refused.
