Glossary

Goal Prioritization

Updated February 28, 2026

Goal prioritization is how Unfair decides which outcomes to optimize first when multiple goals compete for the same stack.

Why it matters

You may want better sleep, higher work focus, and less anxiety at the same time. Goal prioritization keeps recommendations from trying to solve all three at once with one unsafe or unstable combo.

Priority model used in practice

Unfair applies a fixed hierarchy when two recommendations offer similar evidence:

  1. Safety first
  2. Consistency and adherence feasibility
  3. Explicit objective goal signal
  4. Optimization opportunities after the above are stable

If a goal change violates a higher layer, the lower layers are deferred even if the expected benefit looks larger.

Competing goals examples

What user overrides do

An override tells Unfair your current preference, but it does not erase safety and consistency gates.

Expect three behaviors:

Practical action step

When goals conflict, choose one lead goal for the next 5–7 days, then log whether outcomes improved before retesting a second objective.

This reduces self-attribution noise and lowers recommendation churn.

Uncertainty and limits

Cross-site references

How this appears in Unfair

You see goal prioritization in rationale text, rationale confidence language, and why a recommendation moves up or down after one week versus one cycle.

If a goal is repeatedly skipped by ranking, the app suggests updating your active goal weighting or revisiting safety constraints.

Clinical safety note

If conflicting goals produce repeated insomnia, palpitations, panic symptoms, or severe GI disturbance, pause optimization and request clinician input before continuing.

Related

Safety Consent

Safety consent is your explicit agreement to let Unfair use safety signals, logs, and recommendation constraints to reduce risk.

Current Supplements Input

Current supplements input is the set of ingredients, timing, goals, sensitivities, and adherence patterns already active in your stack.

Recommendation Engine

The recommendation engine is the path from your inputs to [ranked suggestions](/blog/complete-guide-to-supplement-stacks), through filters and guardrails.