Metabolic Success Predictor™ | Diabetes Care Home

Diabetes Care Home · Behaviour Intelligence

Metabolic Success
Predictor™

Before treatment begins, we calculate the probability that a patient will succeed — and exactly what kind of support they'll need to get there. Built on a 10-variable behavioural model spanning motivation, readiness, sleep, stress, support systems, and clinical complexity.

Engine MSP™ v1.0

Inputs 10 weighted domains

Output Success probability · Dropout risk · Coaching tier

MSP™ Dropout Predictor™ Coaching Intensity Engine™ RC-OS™ Compatible

Patient & Programme

Patient name (optional)

Primary goal

Motivation Score

Strong predictor

How important is this change to the patient, and how strongly do they want it? Motivation is the single largest driver of long-term adherence.

How important is improving your metabolic health right now?

Not importantExtremely important

How strongly do you want to make this change happen?

LukewarmBurning desire

Readiness Score

Strong predictor

Stage-of-change: is the patient ready to act today, or still contemplating?

Are you ready to start making changes today?

Not at allCompletely ready

If not today, how confident are you that you'll be ready within the next 1–3 months?

UnlikelyVery likely

Previous Attempt History

Context modifier

Past attempts shape expectations and resilience — both a risk and an opportunity for the right programme.

How many serious attempts (diets, programmes, medications) have you made before?

How many of those would you say failed or didn't last?

Sleep Score

Huge predictor

Sleep quantity, quality and regularity directly drive insulin resistance, appetite hormones, and willpower for adherence.

On average, how many hours do you sleep per night?

<4 hrs8+ hrs

How would you rate your sleep quality (waking refreshed, uninterrupted)?

PoorExcellent

How regular is your sleep schedule (same bed/wake time daily)?

Very irregularVery regular

Stress Score

Adherence killer

Work, family and financial stress are the leading causes of programme abandonment in our population.

How would you rate your current work-related stress?

SevereNone

How would you rate your current family-related stress?

SevereNone

How would you rate your current financial stress?

SevereNone

Family Support Score

Critical in India

Household food, routine and emotional support make or break adherence in Indian family structures.

Does your spouse/partner support your health goals?

Not at allFully

Does the wider family (parents, in-laws, children) support your goals?

Not at allFully

Can the person who cooks at home adapt meals for you?

Cannot adaptFully adaptable

Behaviour Type

Coaching design input

How a patient naturally processes information and makes decisions determines how coaching should be delivered.

Which best describes how you usually approach a big change?

Time Availability Score

Very predictive

Daily time available for meals, walks, exercise and self-monitoring shapes which interventions are realistic.

On a typical day, how much dedicated time can you give to your health (meal prep, walking, exercise, monitoring)?

Digital Engagement Score

Programme fit

Willingness to use apps, CGMs and digital logs determines suitability for remote/tech-enabled coaching tracks.

How willing are you to use a mobile app for daily tracking?

UnwillingVery willing

How willing are you to wear a CGM (continuous glucose monitor) when recommended?

UnwillingVery willing

How consistently could you submit logs/photos of meals when asked?

RarelyEvery time

Clinical Complexity Score

Medical risk weighting

Disease duration, insulin dependence and comorbidities affect how aggressive the reversal protocol can be — lower complexity generally means faster, easier wins.

How long have you been diagnosed with diabetes / your metabolic condition?

Are you currently on insulin?

How many other conditions do you manage (BP, thyroid, heart, kidney, etc.)?

0 of 22 answered

Diabetes Care Home — Behaviour Intelligence Report

MSP™ Engine v1.0

Behaviour Intelligence Report · MSP™

Patient Report

--%

—

Metabolic Success Probability™

--%

Likelihood of achieving the defined success criteria

Dropout Predictor™

--%

Risk of missed follow-ups / early exit

Coaching Intensity Engine™

—

Recommended support cadence

Success Drivers Heatmap™

A quick visual map of what's working well and what's holding the score back — green is strong, amber needs attention, red is a priority.

Metabolic Success Levers™

The specific actions most likely to move this score upward — ranked by impact.

Family Influence Score™

--%

Household support for behaviour change

CGM Readiness Score™

--%

Suitability for continuous glucose monitoring

Predicted Coaching Load

—

Resource allocation estimate

Behaviour DNA™

Programme Fit

Recommended Intervention Plan

Program Recommendation Engine™

Doctor Summary™ — Clinical Alert Box

For care team

Historical Benchmark

Generated by the MSP™ Behaviour Intelligence Engine.