Round #389
08 May 2026, 22:33· hr-law· claude-haiku-4-5-20251001· r13-clean-hints
- Complexity
- band 0
- ZP / UO / OBS
- 3 / 4 / 1
- Journey weight
- 572
- Lightshift ΔL
- +0.00
Prompt
We dismissed an employee for sharing confidential pricing information with a competitor. They had no previous warnings. Was dismissal proportionate?
Zero-point index (what the engine surfaced)
ZPI-ZPI-0006 | 2026-05-08T22:33:05Z
We dismissed an employee for sharing confidential pricing information with a competitor. They had no previous warnings. Was dismissal proportionate?
ZERO POINT — 3 entries (structural invariants)
● hsl(89.73, 100%, 30%) band of reasonable responses [contract]
● hsl(203.07, 100%, 30%) reason for dismissal [contract]
● hsl(77.05, 100%, 30%) effective date of termination [contract]
UNOBSERVED — 4 entries (implied truths)
○ hsl(222.00, 100%, 24%) statutory minimum notice [feature]
○ hsl(223.00, 100%, 24%) contractual notice [feature]
○ hsl(193.00, 100%, 24%) qualifying period [feature]
○ hsl(195.75, 100%, 16%) Write dismissal letter [function]
OBSERVED — 1 entries (explicit in request)
◉ hsl(180.00, 100%, 50%) employee [feature]
COMPLEXITY │ 8 entries │ spread: 43° │ band: LOW
Baseline response (no ZPI)
# Proportionality Assessment
This is a serious matter with legitimate legal and HR considerations. Here's a balanced analysis:
## Arguments Supporting Dismissal as Proportionate
- **Breach of trust**: Sharing confidential pricing with competitors strikes at core employment obligations
- **Direct business harm**: This creates immediate competitive disadvantage
- **High culpability**: Intentional disclosure (vs. accidental) suggests willful misconduct
- **Some jurisdictions accept**: Gross misconduct can justify dismissal without warnings in certain contexts
## Arguments Against Proportionality
- **No prior warnings**: Many employment laws/standards expect progressive discipline (verbal → written → suspension → termination)
- **Jurisdiction-dependent**: EU, UK, and many other regions generally require warnings even for serious misconduct, with limited exceptions
- **"Last straw" doctrine applies**: Even grave breaches often need context of prior issues
- **Potential unfair dismissal claim**: The employee may have grounds depending on location
## What Matters Most
1. **Your jurisdiction** - This is critical. Employment law varies significantly by country/state
2. **Employment contract terms** - Any clause about confidentiality or dismissal procedures?
3. **Company policy** - Did it require warnings or allow immediate dismissal for gross misconduct?
4. **Documentation** - Can you prove they knew it was confidential?
5. **Investigation process** - Was it fair and thorough?
## Recommendation
**Consult employment counsel in your jurisdiction immediately.** This could result in costly litigation. Even if dismissal was legally justified, procedural flaws can still create liability.
What jurisdiction applies to this employment?
Enhanced response (with ZPI)
# Employee Dismissal Proportionality Assessment
This is a legal/HR policy question, not a software development request. I'll provide a framework for analyzing proportionality, but clarify the limitations upfront.
## Analysis Framework
```csharp
using System;
using System.Collections.Generic;
using System.Linq;
/// <summary>
/// Framework for assessing whether dismissal was proportionate to misconduct.
/// NOT a legal opinion—consult employment counsel.
/// </summary>
public class DismissalProportionalityAnalysis
{
public enum MisconductSeverity
{
Minor,
Moderate,
Serious,
Gross
}
public class MisconductFactor
{
public string Description { get; set; }
public bool Present { get; set; }
public string Evidence { get; set; }
}
public class ProportionalityReport
{
public MisconductSeverity ClassifiedSeverity { get; set; }
public List<string> MitigatingFactors { get; set; } = new();
public List<string> AggravatingSeverityFactors { get; set; } = new();
public List<string> ProcedureDeficiencies { get; set; } = new();
public string RiskAssessment { get; set; }
public List<string> RecommendedAlternatives { get; set; } = new();
}
public ProportionalityReport AssessDismissal(
string misconductDescription,
int yearsEmployed,
int previousWarnings,
bool followedDisciplinaryProcess,
List<MisconductFactor> contextFactors)
{
var report = new ProportionalityReport();
// Classify misconduct severity
report.ClassifiedSeverity = ClassifyMisconduct(misconductDescription, contextFactors);
// Identify procedure issues
if (!followedDisciplinaryProcess)
{
report.ProcedureDeficiencies.Add(
"No prior disciplinary hearing or right to respond documented");
}
if (previousWarnings == 0)
{
report.ProcedureDeficiencies.Add(
"No graduated discipline applied (jumped to dismissal)");
}
// Gather mitigating factors
GatherMitigatingFactors(report, yearsEmployed, previousWarnings, contextFactors);
// Gather aggravating factors
GatherAggravatingFactors(report, contextFactors);
// Assess overall proportionality
report.RiskAssessment = AssessLiability(report);
// Suggest alternatives if dismissal appears disproportionate
if (report.RiskAssessment.Contains("HIGH RISK"))
{
report.RecommendedAlternatives = SuggestAlternatives(report.ClassifiedSeverity);
}
return report;
}
private MisconductSeverity ClassifyMisconduct(
string description,
List<MisconductFactor> factors)
{
// Sharing confidential pricing information is typically GROSS misconduct
// if it involves intentional disclosure to a competitor (not accidental, not good faith)
var hasIntentionalDisclosure = factors
.Where(f => f.Present)
.Any(f => f.Description.Contains("intentional", StringComparison.OrdinalIgnoreCase));
var hasCompetitorInvolved = factors
.Where(f => f.Present)
.Any(f => f.Description.Contains("competitor", StringComparison.OrdinalIgnoreCase));
if (hasIntentionalDisclosure && hasCompetitorInvolved)
{
return MisconductSeverity.Gross;
}
if (hasIntentionalDisclosure)
{
return MisconductSeverity.Serious;
}
return MisconductSeverity.Moderate;
}
private void GatherMitigatingFactors(
ProportionalityReport report,
int yearsEmployed,
int previousWarnings,
List<MisconductFactor> factors)
{
if (yearsEmployed > 5)
report.MitigatingFactors.Add($"Long service ({yearsEmployed} years) with no prior issues");
if (previousWarnings == 0)
report.MitigatingFactors.Add("No previous disciplinary record");
var disclosure = factors.FirstOrDefault(f =>
f.Description.Contains("accidental", StringComparison.OrdinalIgnoreCase)
&& f.Present);
if (disclosure != null)
report.MitigatingFactors.Add("Disclosure was accidental rather than intentional");
var duress = factors.FirstOrDefault(f =>
f.Description.Contains("coerced", StringComparison.OrdinalIgnoreCase)
&& f.Present);
if (duress != null)
report.MitigatingFactors.Add("Employee acted under duress or pressure");
}
private void GatherAggravatingFactors(
ProportionalityReport report,
List<MisconductFactor> factors)
{
var aggravating = factors.Where(f => f.Present && (
f.Description.Contains("repeated", StringComparison.OrdinalIgnoreCase) ||
f.Description.Contains("breach of trust", StringComparison.OrdinalIgnoreCase) ||
f.Description.Contains("financial loss", StringComparison.OrdinalIgnoreCase) ||
f.Description.Contains("client", StringComparison.OrdinalIgnoreCase)
)).ToList();
foreach (var factor in aggravating)
{
report.AggravatingSeverityFactors.Add($"{factor.Description}: {factor.Evidence}");
}
}
private string AssessLiability(ProportionalityReport report)
{
// Procedural fairness is critical
if (report.ProcedureDeficiencies.Count > 1)
{
return "HIGH RISK: Significant procedural failures make dismissal vulnerable to " +
"unfair dismissal claims, regardless of misconduct severity.";
}
// Gross misconduct can justify summary dismissal IF proper procedure followed
if (report.ClassifiedSeverity == MisconductSeverity.Gross &&
report.ProcedureDeficiencies.Count == 0)
{
return "MODERATE-LOW RISK: Gross misconduct with proper procedure documented. " +
"Dismissal is likely proportionate IF investigation was thorough.";
}
// Serious misconduct without warnings may be disproportionate
if (report.ClassifiedSeverity == MisconductSeverity.Serious &&
report.MitigatingFactors.Contains("No previous disciplinary record"))
{
return "MEDIUM-HIGH RISK: Jumping to dismissal for serious (not gross) misconduct " +
"without prior discipline may be found disproportionate. Consider alternatives.";
}
return "MODERATE RISK: Context-dependent. Seek legal review.";
}
private List<string> SuggestAlternatives(MisconductSeverity severity)
{
return new()
{
"Written warning with final notice",
"Suspension pending investigation review",
"Demotion or role change with reduced access",
"Disciplinary hearing with right to representation and appeal",
"Retraining on confidentiality obligations",
"Monetary penalty (where contractually permitted)"
};
}
}
```
## Usage Example
```csharp
var analysis = new DismissalProportionalityAnalysis();
var factors = new List<DismissalProportionalityAnalysis.MisconductFactor>
{
new() { Description = "Intentional disclosure", Present = true,
Evidence = "Emails showing deliberate sharing" },
new() { Description = "Competitor involved", Present = true,
Evidence = "Recipient was competitor sales manager" },
new() { Description = "Financial loss", Present = true,
Evidence = "Competitor underbid by 15% using pricing" },
new() { Description = "Accidental disclosure", Present = false
Grader chain
Each grader reads the same baseline + enhanced pair and casts an independent verdict. Disagreement is the framework's own signal — not noise to be averaged away.
V1samba/Meta-Llama-3.3-70B-Instruct
BetterV4qwen2.5-coder-7b-instruct
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