The practical answer

Use a small fictional dataset that changes one important fact at a time. Establish the expected reporting treatment with a reviewer, then ask your operator to trace each scenario from source facts through monthly preview and generated output.

A product demonstration is more informative when the evaluator brings cases with known facts. These five scenarios test employee-level behavior without turning a sales demonstration into an unsupported tax determination. The form context is tax year 2025. Use approved synthetic identities in a nonproduction environment and retain the actual observed results.

Prepare five cases with explicit expected evidence

Have the reporting reviewer supply the expected codes and conditional fields for the demonstration. The 2025 instructions make monthly reporting depend on the employee's facts and the applicable offer, measurement and enrollment rules. A hire date or termination date alone is not a complete coding recipe.

Five original employee scenarios and their evaluation targets
Fictional aliasScenarioEvidence target
DEMO-01Stable reviewed facts all year.Consistent twelve-month preview and form output.
DEMO-02Midyear hire with distinct offer and enrollment dates.Preserved dates and month-specific decisions.
DEMO-03Termination followed by rehire.One connected employee history with separate episodes.
DEMO-04Applicable contribution changes in July.Only intended monthly amount cells change.
DEMO-05Covered child joins a self-insured plan midyear.Person-specific enrollment history and Part III preview.

Save the dataset version. If the vendor fixes an issue during the session, rerun the same case and retain both observations rather than silently replacing the first result.

Scenario 1: prove the ordinary case before testing exceptions

For DEMO-01, provide a complete reviewed year with stable offer facts, applicable contribution and reporting treatment. Ask the operator to import it, display the twelve-month preview and generate the recipient draft. Compare the values at each stage.

Then ask how the product represents values that are the same throughout the year. Whether it uses monthly cells or an applicable all-year presentation, the evaluator should be able to establish that the entire year is represented correctly under the form instructions. Do not reward compact output if it hides an unintended missing month.

Repeat the identical import and inspect the employee record count. Record whether the application recognizes the same record, prompts for an update choice or creates another row. This creates a baseline for interpreting the more complex cases that follow.

Scenario 2: distinguish hire, offer and enrollment dates

For DEMO-02, establish a fictional April 17 hire date, a reviewed June 1 offer effective date and a July 1 enrollment start date. These are demonstration facts, not a conclusion that any particular reporting code applies. Supply the reviewer's expected month-by-month treatment separately.

Ask the vendor to show where all three dates are stored and which transformations affect the form preview. A product should not silently treat the enrollment date as proof of the first offer or spread the post-enrollment state backward through January.

Change only the source hire date in a copied test case and inspect the displayed dependencies. Record whether the product recalculates a proposed result, flags a review or preserves supplied codes. The evaluation should make the product's decision model understandable instead of assuming that every automatic recalculation is correct.

Scenario 3: connect two employment episodes to one person

For DEMO-03, provide a fictional termination on March 22 and rehire on September 9. Include separate payroll episode identifiers and one stable employer-scoped employee alias. Have the reporting reviewer establish the relevant treatment and supply any measurement or offer facts the product needs.

Import the episodes and ask the operator to locate the person's full annual history. Observe whether the software keeps the two episodes visible, accidentally creates two unrelated employee-year records, or overwrites the earlier episode with the rehire record.

Next, inspect a report of unresolved identity matches. A product may properly request human review rather than merge records automatically. Record the matching evidence and the final source-to-output association. The useful result is a defensible connection, not the highest number of automatic merges.

Scenario 4: work through a controlled contribution change

Fictional worked example: DEMO-04 has a reviewed applicable line 15 amount of $90 for January through June and $110 for July through December. Assume the reviewer has established that the field is required for all twelve months. The internal comparison total is 6 × $90 + 6 × $110 = $1,200.

Change the July-through-December amount to $115 in a new source version. The six affected cells should increase by $5, for a $30 diagnostic difference and a new total of $1,230. The comparison total is a testing aid, not a replacement for monthly reporting.

Inspect the source preview, current draft and retained earlier draft. Ask the evaluator to identify exactly which version contains $110 and which contains $115. Confirm that January through June remain $90.

Scenario 5: preserve each covered person's enrollment months

For DEMO-05, assume the applicable self-insured reporting treatment has been established. Supply reviewed employee enrollment for all twelve months and a child's enrollment beginning August 1. Ask the operator to show the employee and child as separate covered individuals with their own months.

The 2025 Part III instructions distinguish covered individuals and their enrollment months. In this fictional case, the employee has twelve listed months and the child has five, August through December. A household-level copy of the employee's all-year enrollment would misrepresent the child's source facts.

Export the evidence from all five cases and give it to a colleague who missed the demonstration. Have that person reproduce one finding from each case. Record unresolved product behavior in the data quality review, with a focused retest rather than an unexplained pass label.

Five independent tests of employee-level behavior

Five independent tests of employee-level behavior: Baseline and dates; Identity across episodes; Monthly amount change; Person-specific enrollment
Synthetic product tests. The reporting reviewer establishes expected treatment; the software demonstration reveals how it is handled.
Read the workflow as text
  1. Baseline and dates. Verify a stable year, then preserve separate hire, offer and enrollment dates.
  2. Identity across episodes. Connect a rehire to the employee's reviewed annual history.
  3. Monthly amount change. Confirm that six intended cells change while earlier months stay stable.
  4. Person-specific enrollment. Keep each covered individual's months distinct and export the evidence.

Put this guide to work

Five-case 1095-C demonstration script

Save the editable text worksheet and use it with your own records. Keep completed copies in your secure working files.

Download the worksheet TXT

Common questions

Are the dates in these examples enough to determine form codes?

No. They deliberately test data handling while leaving the reporting treatment to a reviewer using the complete facts. Measurement methods, offer details and other conditions may be relevant. Record expected codes separately before the demonstration.

Why include an ordinary full-year case?

It establishes a baseline for import behavior, twelve-month completeness and generated output. If the simple case fails, a more complex case will be harder to diagnose. It also gives the evaluator a clean repeated-import test.

Should a rehire always merge automatically?

No. The product should preserve the evidence needed to connect the employment episodes correctly. A review prompt may be appropriate where identity is ambiguous. Evaluate the final association and traceability rather than treating automation alone as success.

Does the contribution example calculate tax or affordability?

No. It uses amounts already established for the demonstration and checks whether six intended month cells change correctly. The arithmetic is a diagnostic for data movement, not a tax calculation or affordability determination.

What should we retain after the vendor fixes a case?

Keep the original observed failure or limitation, the configuration or product change, and the retest output using the same case. That record lets implementation staff reproduce what was demonstrated and understand any continuing dependency.

Official sources and scope

Sources checked September 5, 2026. Use the edition for the tax year and filing method you are working with; later instructions may change thresholds, fields, or procedures.

  1. IRS 2025 Instructions for Forms 1094-C and 1095-C

    Tax year 2025 monthly offer reporting, conditional contribution fields and covered-individual enrollment context.