Birth Injury Marketing
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Screening capacity planner

The number of birth injury cases a firm signs is set by how many inquiries it can competently review, not by how many it receives. This model finds your ceiling, then shows what a given inquiry volume does to your queue and to the age of the inquiries sitting in it.

Your review capacity
Capacity
Nurse consultants, paralegals with the training, attorneys
Review only — not intake calls, not case work
Obtain, organise, read, and reach a decision
Nobody reviews for 100% of scheduled hours
75
Demand
After the conversational screen
35

The link carries your inputs. Forward it and the recipient sees exactly this result.

Result

record reviews per week, your actual ceiling
Reviews demanded per week
Headroom (or shortfall)
Utilisation of review capacity
Queue after 4 weeks
Queue after 12 weeks
Wait for a new inquiry at week 12
Max sustainable inquiries per week
Show the arithmetic

What a queue actually costs

The cost of exceeding review capacity. Four consequences of a growing review backlog, none of which appear in a marketing dashboard. Inquiry volume exceeds review capacity Queue grows without limit every additional inquiry extends it Every inquiry in it ages including the viable ones Contactability falls people move on, or retain elsewhere Limitation exposure rises a real risk in some matters Additional spend produces cost, not cases and the marketing dashboard still looks fine
Figure 1 — the failure mode is invisible from the marketing side. Inquiry counts keep rising, cost per inquiry keeps looking reasonable, and signed cases plateau. This is why we size demand to review capacity rather than to budget. How we build the capacity side.
Four ways to raise the ceiling, ranked by how fast they work.
LeverSpeedWhat it changes in the model above
Tighten the conversational screenImmediateLowers the share of inquiries reaching records review. The cheapest lever, and the one most firms have not written down.
Fix the records-request processWeeksRemoves waiting time that is not review time. Often recovers a fifth of throughput with no new headcount.
Add reviewer hoursWeeks to monthsRaises the ceiling directly, at a known cost per hour.
Retain an external nurse consultant for overflowWeeksConverts a fixed ceiling into a variable one, at a higher unit cost.
What to measure so this model uses your numbers instead of your impressions.
MeasureWhere it comes fromCommon surprise
Hours actually spent on review, per person, per weekA two-week time log, nothing more elaborateUsually well under half what the firm assumed
Hours per reviewTimestamped start and decision on ten real reviewsWider variance than expected; the mean hides it
Share of inquiries reaching records reviewCRM stage countsHigher than the firm believes, because the conversational screen is undocumented
Current backlog and its age distributionA single CRM queryThe oldest item is usually older than anyone thought

Feed this ceiling into cost per signed case → · The full manual →

Provenance

Where every number in this tool comes from. Two categories only: measured from a cited federal dataset, or supplied by you. There is no third, and there is no industry average anywhere in it.
Input or outputOriginIf it is wrong, what breaks
Reviewers and hours per weekYou — from a two-week time log, not from a job descriptionThe ceiling, directly and proportionally.
Hours per reviewYou — timestamped on ten real reviewsThe ceiling. It is the most commonly underestimated input here.
UtilisationYou — an honest estimateThe ceiling. Nobody reviews for 100% of scheduled hours.
Share reaching records reviewYou — CRM stage countsDemand, and therefore whether the queue grows or clears.
Queue projectionComputed — backlog + weeks × (demand − ceiling)Nothing; the equation is shown.
Any assumed screen-out rateNot present. Yours or nothing.n/a

No default in this tool is a claim. The starting values exist so the page is not blank on arrival. They are not benchmarks, they are not averages, and they describe no real firm. Replace every one of them with your own before acting on the result. See Methodology.