Turn a sequence of imperfect meal records into better questions without over-reading one day.
The question: How can you find a repeatable pattern without over-reading one unusual day?
Key takeaways
History is useful when it reveals repetition, timing, or missing data. It is less useful when every variation is treated as a verdict on progress.
Current availability
Verified in the current Feast iPhone app
Plan availability: Confirm the current tier in the app.
Platforms: iPhone
Reviewed against the current iOS implementation and public App Store listing on August 1, 2026.
Real workflow
Review a time period that matches the question you care about.
Notice logging gaps before treating totals as representative.
Choose one recurring, changeable pattern for follow-up.
Try it on a hard case
A representative test tells you more than the cleanest demo. Use a meal or routine that exposes the feature’s actual job.
Review a period long enough to include repetition and mark logging gaps before calculating anything. Compare like with like—work lunches with work lunches, not a holiday with a routine Tuesday.
You find one recurring pattern that is visible across several records and specific enough to investigate or change.
A history of estimates is not a complete dietary assessment when meals are selectively logged. Repetition in the app may partly reflect repetition in what you chose to record.
First-party product artwork
The artwork displays a multi-day meal count and a Trends card on the same surface as coaching. That supports the workflow claim that Feast can present history and longitudinal views together.
It does not prove that the history is complete, that a pattern is causal, or that any displayed observation generalizes beyond the logged record.
We use this image only for the interface elements described above. Its embedded marketing copy is not treated as scientific or performance evidence; those claims require the separately listed sources.
Source ledger
This page documents current Feast behavior from product review and official listings. That evidence can establish what the feature is designed to do; it does not prove clinical benefit or the accuracy of a particular meal estimate.
Where it may not help
From explanation to evidence
These are not generic recommendations. Each destination shares a named subject with this page and exposes the underlying USDA records, denominators, or preparation distinctions.
Compare the idea against 3 exact USDA records gathered for the beef and vegetables including carrots, broccoli, and/or dark green leafy vegetables without potatoes family.
Shared focus: and, without → Meal familyCompare the idea against 3 exact USDA records gathered for the beef and vegetables excluding carrots, broccoli, and dark green leafy vegetables without potatoes family.
Shared focus: and, without →