Lanchester R&DTactical Exploration Lab
Behavioral & Wellbeing
Mobile NativeBehavioral DesignGrounding

Five Things

Micro-habit cognitive reset for high-stress environments.

Five Things Diagnostic
IMG_REF // FIVE-THINGS

Problem Defined

"Existing mental-health tools are too high-friction for active crisis tempo."

01

Strategic Context

Saturated cognitive environments lead to sustained decision fatigue.

02

Competitive Imbalance

Wellness tools are too heavy for operational stress.

03

System Hypothesis

Simplifying the ritual increases adherence and resilience.

04

Process Architecture

How the system was designed, tested, and refined.

01

DEFINE

Objective

Identify friction in high-stress mental resilience tools.

What We Did
  • Audited existing wellness app friction
  • Observed high-tempo operator behaviors
  • Mapped cognitive fatigue triggers
What Failed
  • Initially designed a complex habit tracker which increased cognitive load
What We Learned
  • The tool MUST be sub-60 seconds to be used in active crisis modes
What We Adjusted
  • Pivoted to a micro-ritual model with zero navigation
02

MAP

Objective

Visualize the ritual-to-baseline recovery flow.

What We Did
  • Mapped sensory grounding steps
  • Designed sequence for rapid state-shift
What Failed
  • Initial sequences were too verbal; users in stress lose semantic processing
What We Learned
  • Stress recovery requires tactile and visual anchors over text
What We Adjusted
  • Rebuilt sequence to focus on high-contrast visual and haptic prompts
03

VALIDATE

Objective

Test ritual adherence in high-stress operational cycles.

What We Did
  • Tested prototype with operators under load
  • Measured recovery to baseline state
What Failed
  • Users skipped "guided" portions to get to the "end"
What We Learned
  • Rituals must be interactive, not just passive observers
What We Adjusted
  • Integrated haptic-confirmed ritual steps for active participation
04

EXECUTE

Objective

Build the zero-latency ritual interface.

What We Built
  • Native iOS ritual engine
  • On-device processing layer
  • Haptic feedback system
What Failed
  • Over-engineered the analytics dashboard early on
What We Learned
  • The value is the state-shift, not the data about the shift
What We Adjusted
  • Removed all navigation; app opens directly into the ritual
05

MEASURE

Objective

Calculate adherence and recovery efficacy.

Metrics Tracked
  • Ritual adherence rate
  • Time-to-baseline recovery
  • Operator fatigue
What Failed
  • Measured "engagement" instead of "utility"
What We Learned
  • High adherence in high-stress is the only metric that matters
What We Adjusted
  • Introduced drift detection to prompt rituals before crisis hits

Rule Application

How doctrine was operationalized.

Intellectual Rigor
01_INT
Applied By
  • Mapping cognitive load thresholds
  • Defining measurable state-shifts
Evidence

75% daily adherence achieved in peak stress cycles

Tactical Execution
02_TAC
Applied By
  • Shipping single-ritual MVP first
  • Prioritizing zero-latency response
Evidence

Sub-60s recovery to baseline achieved in trials

Human Calibration
03_HUM
Applied By
  • Reducing cognitive friction to zero
  • Designing for non-verbal states
Evidence

Zero user rejection after removal of navigation burden

Machine Leverage
04_AI
Applied By
  • Signal tracking to identify behavioral drift
  • Predictive ritual prompting
Evidence

AI detects impending fatigue before the operator expresses it

05

Product Architecture

Native iOS interface, on-device processing, zero-latency flows.

Five Things Architecture
System Schematic // V-01
06

AI Leverage

Signal tracking to identify behavioral drift.

07

Outcomes & Learnings

Sub-60-second rituals beat complex apps for consistency.