DDL Case Study · Analytics Engine

GetSum.engine

Deterministic capital analysis — a household finance engine that classifies every budget variance as environmental, execution, or structural, with drift detection and capital efficiency signals.

Problem

Household budgets track what was spent — but never why it drifted. No distinction between a grocery increase caused by inflation vs. a dining increase caused by behavior change. Every variance looks the same.

Approach

DDL's variance classification engine: every category deviation is analyzed against 3-month trends, CPI benchmarks, and behavioral patterns to classify as Environmental (external), Execution (behavioral), or Structural (permanent shift).

Deliverable

Terminal-style capital analysis dashboard — KPI strip, variance table with classification badges, allocation bars, drift detection signals, capital efficiency audit, and executive summary with actionable recommendations.

I. Capital Structure Summary

Total Spend

$4,218

MTD actual

↑ 6.2% vs Jan pace

Projected Month

$5,905

at current run rate

↑ $380 over budget

Fixed / Variable

62 / 38

% split

→ stable

Top 3 Concentration

71.4%

of total spend

→ normal range

Discretionary

$1,603

38% of total

↑ 11% vs 3mo avg

Subscriptions

$287

14 active

↑ 2 added since Dec

II. Variance Analysis — Category Level

Category	Budget	Actual	Projected	Var $	Var %	3mo	Signal	Class
Housing	$1,650	$1,650	$1,650	$0	0.0%	→ → →	—	Clean
Groceries	$600	$482	$675	+$75	+12.5%	↑ ↑ ↑	Signal	Environmental
Dining Out	$250	$218	$305	+$55	+22.0%	↗ ↑ ↑	Signal	Execution
Auto / Gas	$350	$248	$347	-$3	-0.9%	→ → ↘	Noise	Clean
Subscriptions	$240	$287	$287	+$47	+19.6%	↗ ↗ ↑	Signal	Structural
Utilities	$280	$310	$310	+$30	+10.7%	→ ↗ ↑	Noise	Environmental
Personal	$200	$187	$262	+$62	+31.0%	↑ ↑ ↑	Signal	Execution
Insurance	$420	$420	$420	$0	0.0%	→ → →	—	Clean
Savings / 401k	$800	$800	$800	$0	0.0%	→ → →	—	Clean

Category Allocation — % of Total

Housing

39.1%$1,650

Savings

19%$800

Groceries

11.4%$482

Insurance

10%$420

Utilities

7.3%$310

Subscriptions

6.8%$287

Auto

5.9%$248

Dining

5.2%$218

Personal

4.4%$187

III. Drift Detection — Active Signals

!

Dining Out: 3-month consecutive increase. +22% vs budget. Pace exceeds income growth rate. Classification: Execution variance.

⚠

Subscriptions: 2 new services added since Dec. No corresponding cancellations. Silent creep pattern: +$47/mo structural increase.

⚠

Groceries: 3-month upward trend consistent with regional CPI food index (+4.1% YoY). Classification: Environmental shift, not behavioral.

→

Personal: Volatile — $142 → $210 → $187 over 3 months. No stable baseline. Insufficient signal for classification. Monitor.

⚠

Concentration risk stable but top 3 categories (Housing + Savings + Groceries) = 69.5% of total. Fixed cost dominance limits reallocation flexibility.

V. Capital Efficiency Signals

Signal	Detail	Impact	Freq	Action
Subscription Accumulation	14 active · 2 added · 0 canceled	$287/mo	Recurring	Audit queue
High-Freq Low-Value	Coffee/convenience: 18 txns MTD	$94.20	Daily	Monitor
Redundant Merchant	2 active streaming · usage unknown	$28.98/mo	Recurring	Evaluate
Dining Concentration	62% of dining at 3 merchants	$135.16	Weekly	No action

VII. System State Output

5 Structural Observations

›Fixed costs (Housing + Insurance + Savings) represent 68.1% of budget — high stability but low reallocation optionality

›Subscription layer growing without corresponding cancellation discipline — net adds +2 in 60 days

›Grocery variance tracks CPI food index within 1.2 standard deviations — environmental, not behavioral

›Dining Out is the only category showing 3-month consecutive execution variance with no environmental justification

›Savings allocation maintained at $800/mo for 6 consecutive months — governance discipline intact on primary objective

3 Emerging Risks

›Subscription silent creep: at current trajectory, annualized increase = +$564 with no governance review

›Dining + Personal combined discretionary trending toward $567/mo — approaching structural threshold

›Variable spend as % of total increasing while income flat — margin compression pattern

3 Capital Reallocation Considerations

›Subscription audit: evaluate 14 active services against usage data — potential recovery $40–80/mo

›Dining Out: implement weekly cap or shift allocation to contain combined discretionary drift

›Grocery budget: adjust target to $640 to reflect environmental reality — reduces false variance signal

Executive Summary

Monthly spend is tracking 6.2% above prior month pace, projecting $5,905 against a $5,525 budget. Core fixed allocations (Housing, Insurance, Savings) remain clean with zero variance — governance discipline is holding where it matters most. The primary pressure is discretionary: Dining Out shows a 3-month execution drift pattern (+22% vs budget) with no environmental justification, and the subscription layer has added 2 services without cancellations, creating a $47/month structural increase. Grocery variance is environmental (CPI-aligned), not behavioral — the budget target should adjust rather than the behavior. The system is not in crisis. The savings rate is protected. But discretionary drift is compounding, and subscription accumulation without audit creates silent margin compression.

GetSum.engine · Deterministic Capital Analysis · v0.1 · Built by DDL · 2026