Tier Maker

Tier Maker provides a deterministic framework to construct tier lists for prioritization, planning, and evaluation. Primary users include product managers, game designers, content strategists, educators, and teams conducting option comparisons. By translating subjective judgments into repeatable tiers, it enables transparent decision making and clear prioritization criteria across projects and workflows. Conceptually, users define items, establish evaluation criteria, and optionally assign weights to reflect importance. The tool computes a score for each item as a weighted sum of criterion values and assigns a tier label from a configurable set. Items can be renamed, filtered, and grouped; tiers can be labeled to align with team conventions. The model supports deterministic outcomes, and tie breaking can rely on higher weighted criteria or original input order. Key value propositions include lightweight setup, reproducible results, and easy sharing of tier configurations. Core features include item input and metadata fields, customizable tier labels, a weighted scoring engine, deterministic sorting, and import/export options. Optional features include preset templates, collaboration sharing, history tracking, and batch processing for large item sets. Use cases span product backlogs, feature prioritization, content categorization, game balancing, and educational rubrics. Typical workflows involve defining criteria per project, assigning weights, loading items, running the calculation, and reviewing tier assignments. The tool is language-agnostic for data values and supports localization-ready outputs. It assumes tiers are mutually exclusive per item and does not perform predictive analytics or external data fetches. The main differentiator is its balance of simplicity, reproducibility, and configurability for varied prioritization contexts.