Dashboard Horizons & Montis Intelligence Stack
Montis organizes training in two complementary ways:
- Dashboard Horizons determine the time period you are examining — today, this week, the current training block, the season, or the future.
- The Montis Intelligence Stack determines how the coaching engine evaluates that training — from workload, through physiological response and adaptation, to the final coaching decision.
A dashboard horizon is therefore not a separate coaching model.
The same Montis Intelligence Stack can be evaluated at different time horizons, using the data and resolution appropriate to that report.
Why the Dashboard Shows Detailed Information
Montis deliberately exposes the evidence behind its coaching interpretation.
The goal is not to duplicate Intervals.icu, but to show how training data is transformed into:
- physiological response;
- performance state;
- adaptation;
- forecast context;
- coaching decisions.
You do not need to interpret every metric individually.
The dashboard provides the evidence, while the Montis Intelligence Stack resolves what that evidence means.
Montis Intelligence Stack
The Intelligence Stack is the processing structure used by the Montis coaching engine.
It moves from observation toward decision:
Training Load → Physiology Response → Performance Intelligence → Adaptation → Adaptive Decisions
Each layer has a different role.
1. Training Load
Answers:
"What training stress has been performed or planned?"
This layer contains the objective workload context, including measures such as:
- training volume and TSS;
- CTL, ATL and TSB;
- recent load pattern;
- intensity distribution;
- monotony and strain;
- completed and planned activities.
Training Load describes the stress applied to the athlete.
It does not by itself determine whether that load is appropriate.
2. Physiology Response
Answers:
"How is the athlete responding to that stress?"
This layer combines available physiological and recovery information such as:
- HRV and HRV trend;
- Resting Heart Rate;
- Sleep;
- subjective Fatigue, Stress and Soreness;
- environmental stress where available.
Montis resolves these signals into physiology and recovery context rather than treating a single wellness measurement as the coaching decision.
For example, normal HRV in isolation is different from normal HRV combined with high fatigue, elevated load or substantial environmental strain.
3. Performance Intelligence
Answers:
"What is happening inside the recent training response?"
Performance Intelligence analyses characteristics of the performed training that simple load totals cannot show.
Current models include areas such as:
- anaerobic reserve utilisation and repeatability;
- durability and cardiovascular drift;
- intensity density;
- aerobic efficiency;
- variability of effort;
- load/recovery interaction.
This layer can resolve an operational Training State such as whether the athlete is currently load accepting or whether recovery should receive priority.
It therefore connects the amount of training performed with evidence about how well that training is being absorbed.
4. Adaptation
Answers:
"What is changing over time?"
This layer looks beyond acute fatigue and evaluates longer-term development.
It includes areas such as:
- aerobic durability;
- threshold development;
- VO₂-related capacity;
- anaerobic capacity;
- power-duration changes;
- energy-system progression;
- phase progression.
Adaptation therefore asks whether the athlete is actually developing in the intended direction, rather than simply accumulating training load.
5. Adaptive Decisions
Answers:
"Given all of the above, what should happen next?"
The Adaptive Decision Engine (ADE) combines the resolved information from the preceding layers with forward context such as:
- current operational state;
- risk signals;
- future training load;
- HRV recovery guardrails;
- adaptation state;
- target-event proximity;
- taper context;
- training phase.
It then produces the current coaching directive.
Examples include maintaining the planned structure or prioritising recovery.
The ADE is therefore downstream of the other intelligence layers.
A single metric does not directly become a coaching instruction.
Unified Reporting Framework (URF v5.1)
Montis uses the Unified Reporting Framework (URF v5.1) as its governed reporting standard.
The coaching engine calculates and resolves the Intelligence Stack.
URF determines how those validated outputs are organised and presented in a report.
It provides a common reporting structure and data contract for Weekly, Calendar, Season and Executive reporting.
This means:
Intelligence Stack = analysis and decision
URF = governed reporting and presentation
Dashboard Horizon = time perspective
Dashboard Horizons
The dashboard horizons allow you to view the Intelligence Stack at different timescales.
The underlying coaching principles remain connected, but each horizon emphasizes the information that is useful at that timescale.
How the pieces fit together
A simple example:
Training Load You complete several demanding sessions.
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Physiology Response HRV, Resting HR, sleep and subjective recovery show how your body is responding.
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Performance Intelligence Montis evaluates whether the load is being absorbed, whether durability is drifting and how intensity has been distributed.
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Adaptation Montis evaluates whether your longer-term aerobic, threshold, VO₂ or anaerobic systems are progressing.
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Adaptive Decisions ADE combines the current state with the future plan, phase and target-event context to determine the coaching directive.
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URF v5.1 Packages the validated outputs into the appropriate report.
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Dashboard Horizon Determines whether you see that information from the Today, Weekly, Meso, Macro or Future perspective.