ALLANA JACKSON™ | IMPACT_METRICS — CALCULATION METHODOLOGY

All operational value figures ($28M, $180K, 89%, etc.) represent conservative estimates using lower-bound public benchmarks for support costs, burdened engineering rates, and industry-standard productivity metrics. No proprietary client financial data is disclosed. Calculations follow documentation governance standards: explicit scope parameters, transparent formulas, and conservative bias to avoid overstatement.

Figures represent independent estimates and are not endorsed by named clients.

SYS_ID
VAL_0001

CLIENT
GOOGLE

METRIC
$28M OPERATIONAL VALUE — SA360 PLATFORM MIGRATION

HIGH_CONFIDENCE_ESTIMATE

SCOPE_PARAMETERS

Population: 3M+ active advertisers (Enterprise/Agency tier)
Time horizon: 10-month migration window
Geographic: 51 markets, localized content deployment

VALUE_DRIVERS

Support cost avoidance — ticket volume reduction × public benchmark cost-per-contact (Tier 2/3 enterprise)
Training efficiency gains — accelerated onboarding × industry-standard productivity value per seat
Developer time recovery — reduced "what's changed" inquiry load on engineering teams

// FORMULAOperational_Value = (Avoided_Support_Touches × Lower_Bound_Cost_Per_Touch) + (Localization_Efficiency × Market_Opportunity_Cost) + (Adoption_Acceleration × Account_Retention_Value) Where: Avoided_Support_Touches — derived from 25% reduction in negative UX feedback scores Lower_Bound_Cost_Per_Touch — HDI Tier 2/3 enterprise benchmark (25th percentile rate) Adoption_Acceleration — correlated from 40% localization velocity improvement

METHODOLOGY_BASIS Estimated using publicly available industry benchmarks (HDI Support Services Benchmark, Gartner IT Cost Metrics) and client-reported volume data (ticket counts, user feedback scores). Google Ads quarterly business review metrics informed scale assumptions. Conservative bias applied: assumes lowest-market cost tiers, excludes unmeasured productivity gains, rounds down to nearest significant figure.

SYS_ID
VAL_0003

CLIENT
DOORDASH

METRIC
$180K+ ANNUAL SAVINGS — IT KNOWLEDGE INFRASTRUCTURE

HIGH_CONFIDENCE_ESTIMATE

SCOPE_PARAMETERS

Population: 6 engineering teams (Incident Response, Security, Platform, SRE/DevOps, Engineering Enablement, IT Operations)
Time horizon: 90-day post-launch benchmark period
Repository consolidation: 25 → 1 source of truth

VALUE_DRIVERS

Engineering time recovery — 20+ hrs/week via 82% faster retrieval (12-min → 3-min average)
Security risk mitigation — avoided credential incidents via sandbox-validated auth guides
Onboarding acceleration — Golden Path standardization reducing new-hire time-to-productivity

// FORMULAAnnual_Savings = (Engineering_Hours_Recovered × Lower_Bound_Burdened_Rate × 52) + (Avoided_Security_Incidents × Industry_Benchmark_Cost) + (Onboarding_Acceleration × Time_To_Productivity_Value) Where: Engineering_Hours_Recovered — 20 hrs/week × 6 teams (observed retrieval time delta) Lower_Bound_Burdened_Rate — BLS / Levels.fyi L4–L5 lower quartile rate Avoided_Security_Incidents — IBM Security Cost of a Data Breach Report 2024, scaled to auth scope Risk_Adjustment — 15% seasonal variance buffer applied throughout

METHODOLOGY_BASIS Estimated using publicly available engineering compensation benchmarks (Bureau of Labor Statistics, Levels.fyi lower quartile for L4–L5 engineers), incident cost data (IBM Security Cost of a Data Breach Report: $4.45M avg global cost, scaled to authentication-focused incident scope), and client headcount analysis. Conservative bias applied: 15% buffer for seasonal incident variance, excludes opportunity cost of delayed feature releases.

SYS_ID
VAL_0001_DOM

CLIENT
DOMINO'S

METRIC
89% TICKET REDUCTION / 99% ADOPTION — NEXTGEN PULSE POS ROLLOUT

HIGH_CONFIDENCE_ESTIMATE

SCOPE_PARAMETERS

6-month pre-rollout baseline vs 6-month post-rollout comparison
Adoption tracked via in-app telemetry (Inline Manual completion rates)
Franchisee compliance dashboards for adoption rate verification
Post-rollout operator survey: n=2,400+ responses

VALUE_DRIVERS

Support ticket volume reduction — pre/post rollout support analytics
Operator adoption rate — in-app completion and compliance tracking
Satisfaction score — 4.6/5 from post-rollout operator survey

METHODOLOGY_BASIS Internal support analytics comparing pre- and post-rollout periods. Adoption rate tracked via in-app telemetry (Inline Manual completion rates) and franchisee compliance dashboards. 4.6/5 satisfaction score from post-rollout operator survey (n=2,400+ responses). Conservative bias: excludes soft benefits (operator confidence, brand reputation). Figures represent independent estimates and are not endorsed by Domino's Pizza.

SOURCE	APPLICATION	APPLIED_TO
HDI Support Services Benchmark	Cost-per-contact, ticket escalation rates (Tier 2/3)	VAL_0001
Gartner IT Key Metrics Data	Productivity loss calculations, IT operations cost modeling	VAL_0001
IBM Security Cost of a Data Breach Report 2024	Incident cost estimation, scaled to authentication scope	VAL_0003
Bureau of Labor Statistics	Burdened engineering rates (lower quartile)	VAL_0003
Levels.fyi	L4–L5 software engineer compensation (lower quartile)	VAL_0003

KNOWN_LIMITATIONS

$28M and $180K figures are estimates, not audited financial statements
Individual client rates may vary from public benchmarks applied
Opportunity costs (delayed releases, competitive positioning) excluded due to measurement complexity
External market factors (inflation, rate changes) not projected beyond engagement period
Figures represent independent estimates and are not endorsed by named clients

TRANSPARENCY_COMMITMENT

INDEPENDENT_ESTIMATE_NOTICE All figures represent conservative estimates derived from publicly available benchmarks and observed operational data. Methodology is available for discussion during the interview process.