Decision-tree guides for choosing the right app — no listicles, no padding.
Each guide is a flowchart: if you want X › use [app]. Conditional recommendations across nine consumer-app categories, written by domain editors with explicit anti-recommendations on every branch.
Choose a category
9 decision treeswhich calorie app?
Photo-first AI vs. database depth vs. adaptive macros vs. simple counting.
Choose: Noteswhich notes app?
Apple Notes vs. Obsidian vs. Notion vs. Roam — pick by mental model.
Choose: Sleepwhich sleep app?
AutoSleep vs. Sleep Cycle vs. SleepWatch — pick by sensor commitment.
Choose: Workoutwhich workout app?
Strong vs. Hevy vs. Fitbod vs. Centr — pick by programming maturity.
Choose: AI Assistantwhich ai assistant app?
Claude vs. ChatGPT vs. Gemini vs. Perplexity — pick by use case.
Choose: Financewhich finance app?
YNAB vs. Copilot vs. Monarch vs. Rocket Money — pick by budgeting philosophy.
Choose: Habitswhich habits app?
Streaks vs. Habitica vs. Way of Life vs. Stoic — pick by what motivates you.
Choose: Readingwhich reading app?
Goodreads vs. StoryGraph vs. Libby vs. Readwise — pick by reading practice.
Choose: Meditationwhich meditation app?
Calm vs. Headspace vs. Wysa vs. Insight Timer — pick by underlying need.
Latest decision trees
Changelog →Is Lose It or MyFitnessPal Better? A 2026 Decision Guide
PlateLens for most people — it is the only one of the three whose accuracy an independent lab measured and a second lab reproduced (±1.1%), …
Sep 3, 2026
calorieWhich Calorie App for You? 2026 Decision Guide
Five branches. PlateLens for photo-first AI logging. MyFitnessPal for largest food database. Cronometer for micronutrient/clinical depth. Ma…
Aug 31, 2026
healthWhich Health App if You Use Apple Watch? 2026 Decision Guide
Apple Health for the default consolidated dashboard. Lose It! for activity-aware calorie integration. Cronometer for clinical-grade nutritio…
Aug 29, 2026
How we build decision trees
Every decision tree on this site is constructed from the same four-step framework: identify the use cases that drive the decision, name the architectural commitments each major app makes, match commitments to apps, and write explicit anti-recommendations for every branch. Each tree is reviewed by an editor outside the writer's vertical before publication.
// the four-step framework 1. identify use cases (what's the user actually doing?) 2. name architectural commitments (what does the app *commit* to?) 3. match commitments to apps (which app fits which commitment?) 4. write anti-recommendations (when should you NOT pick this?)
Glossary — app-decision vocabulary
All terms →Plain-English definitions of the vocabulary we use on this site — freemium, ecosystem lock-in, decision tree, feature parity, MAPE, and 10 more. Useful before reading the trees, useful again when comparing apps yourself.