How to run Wrongful Death Damages in DocketMath for Colorado
7 min read
Published August 28, 2025 • Updated April 23, 2026 • By DocketMath Team
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Step-by-step
Run this scenario in DocketMath using the Wrongful Death Damages calculator.
This guide walks you through running Wrongful Death Damages in DocketMath for Colorado (US-CO). The goal is to help you produce a jurisdiction-aware damage run—so the calculator reflects Colorado-specific wrongful-death damages components such as economic losses, noneconomic losses, and (when applicable) loss of household services.
Note: This walkthrough is for calculation workflow, not legal advice. Wrongful-death damages can depend heavily on case facts (e.g., dependency, ages, and evidence), so treat results as scenario estimates.
1) Open the correct calculator
- Go to the primary CTA: /tools/wrongful-death-damages
- Confirm you’re using the Wrongful Death Damages calculator in DocketMath.
- Set Jurisdiction to Colorado (US-CO).
If your DocketMath screen separates “jurisdiction” from “calculator,” make sure the jurisdiction selector is set to US-CO before you start entering facts.
2) Select the wrongful-death case inputs
DocketMath’s wrongful-death flow typically breaks the analysis into inputs you can map to:
- Who was killed (decedent profile)
- Who claims (beneficiary profile(s))
- Time horizon (often tied to life expectancy assumptions)
- Economic damages (lost earnings and related economic contributions)
- Noneconomic damages (loss categories depending on the claim structure supported by the tool)
- Household services (if the input set supports it)
Use the checklist below to gather your numbers before typing them in.
Quick input checklist
3) Enter economic-loss inputs (earnings & future economic contribution)
In wrongful-death damage models, economic loss is usually the largest moving part. In DocketMath, enter what the tool provides for:
- Decedent earnings / earning rate (annual)
- Earnings start and end assumptions (if the calculator asks)
- Employment probability or labor participation assumptions (if offered)
- Pre-injury baseline costs or offsets (if your interface includes them)
How outputs change
- Higher annual earnings → larger economic damages.
- Shorter/longer time horizon → changes total future economic loss.
- If the tool lets you model an economic contribution share (e.g., what decedent would likely have contributed to beneficiaries), increasing that share increases the economic total.
4) Enter noneconomic-loss inputs (loss categories)
Noneconomic components typically include categories such as loss of companionship/consortium-type harms, and related concepts depending on how the tool structures the claim.
In DocketMath:
- Fill in the beneficiary relationship(s) and any relationship weighting options the tool provides.
- If there’s a slider or multiplier for severity/impact, choose values that match your evidence narrative.
How outputs change
- More beneficiaries / closer relationships (as captured by the tool) → increases noneconomic total.
- If you can set a multiplier or severity factor, even small changes can materially affect the noneconomic bucket, which then flows into the grand total.
5) Add household-services loss (if applicable)
Colorado wrongful-death models often include loss of household services where evidence supports it (for example, services the decedent would have provided to family).
In the DocketMath interface:
- Turn on household services only if you have a fact basis for including it.
- Enter either:
- an estimated annual value of services, or
- hours per week × hourly valuation, if the tool requests a granular approach.
How outputs change
- Turning household services from “off” to a positive value can increase total damages meaningfully even when earnings are low.
- If both earnings and household services are being estimated, ensure they aren’t double-counting the same contribution—use DocketMath’s structure as your guardrail.
Pitfall: Double-counting. If you include household services as an annual value and also model a broad “earnings” measure that already captures those services, you can inflate totals. DocketMath’s layout usually indicates the intended separation—follow the calculator’s intended fields.
6) Apply Colorado-specific wrongful-death structure inside DocketMath
DocketMath’s jurisdiction-aware rules for US-CO are applied once:
- the jurisdiction is set to Colorado, and
- you’ve populated the relevant wrongful-death components in the tool.
Before you run:
- Verify the jurisdiction label reads US-CO.
- Check whether the tool shows any Colorado-specific message or toggles related to wrongful-death categories.
Then run the calculator to get results.
7) Review the output breakdown and totals
After running, DocketMath should display:
- Economic damages
- Noneconomic damages
- Household services (if included)
- Total wrongful-death damages
Use the breakdown to stress-test your assumptions:
- If economic damages dominate, focus on decedent earnings and time horizon.
- If noneconomic damages dominate, validate relationship inputs and noneconomic factors.
Suggested review steps
8) Save/export and iterate with scenario comparisons
Most workflows improve with scenario runs. Example scenario comparisons:
- Scenario A: earnings-only (household services off)
- Scenario B: earnings + household services
- Scenario C: different earnings trajectory (conservative vs higher estimate)
- Scenario D: different beneficiary configuration (if the tool supports multiple beneficiaries)
If DocketMath supports export/download, save versions with clear naming (e.g., “CO_wrongful_death_econ_plus_household_v1”).
9) Capture supporting notes for each assumption
To keep your run audit-friendly:
- Record what you entered and why (evidence basis, ranges, and where the numbers came from—even if you later adjust).
- Note any values you treat as estimates.
A simple internal note format:
- “Decedent earnings: modeled at $X/year based on Y”
- “Time horizon: based on life expectancy assumption of Z”
- “Household services: included at $A/year derived from B”
This isn’t legal advice—it’s quality control for repeatable calculations.
Common pitfalls
Below are frequent issues that distort wrongful-death outputs in DocketMath for Colorado (US-CO).
Using the wrong jurisdiction code
- If you accidentally run with a non-Colorado selection, the calculator will apply the wrong wrongful-death structure.
- Fix: confirm US-CO before entering numbers.
Over-including beneficiaries
- Adding beneficiaries that don’t match your claim structure can inflate both economic and noneconomic totals in a way that doesn’t match the tool’s intended model.
- Fix: ensure beneficiary entries align with the tool’s supported beneficiary categories.
Inconsistent ages
- If decedent age and beneficiary ages are misaligned, noneconomic allocations and any age-based calculations can skew totals.
- Fix: use a single age reference date (or whatever the tool’s input expects).
Double-counting household services
- Household services sometimes overlap with earnings-contribution modeling depending on how you estimate contributions.
- Fix: treat household services as a distinct component and follow DocketMath’s field design.
Skipping scenario comparison
- A single run can hide sensitivity to one assumption (especially earnings or household-services valuation).
- Fix: run at least 2–3 scenarios and compare deltas.
Warning: Even with a jurisdiction-aware tool, wrongful-death damages are highly fact-specific. Treat outputs as scenario estimates—do not assume a calculator run “proves” legal entitlement.
Try it
Ready to run your first Colorado wrongful-death damages scenario in DocketMath?
- Open the calculator: /tools/wrongful-death-damages
- Set **Jurisdiction = Colorado (US-CO)
- Start with a baseline:
- Run, review the breakdown, then create v2 by:
If you want a tighter sensitivity check, add v3 by adjusting only one lever:
- change earnings and keep all else constant, or
- change household services and keep earnings constant.
To jump straight into a comparison workflow, you can revisit the tool entry point here: /tools/wrongful-death-damages.
