Six rosacea apps, and patients still build their own spreadsheets.

The top-voted answer is a spreadsheet

Someone with rosacea posts on a subreddit asking how to work out what actually sets their flares off, and the replies converge on a spreadsheet.

Not an app. Columns. Date, what they ate, what the weather did, whether there was wine the night before, a 1-to-10 guess at how bad the cheeks looked, and a phone photo living somewhere else entirely with the date typed into the filename.

That thread ran in 2026 on r/TheGirlSurvivalGuide. A near-identical one sits in r/Rosacea under the title "Tracking triggers?", and it is considerably older, predating it by years. Between those two posts, at least six products have existed to do exactly this job. Some are live on the App Store right now. One was built by a pharmaceutical company and then discontinued outright. One is itself a spreadsheet template circulated inside a patient support community, which tells you something before we argue anything.

The spreadsheet tell

Call it the spreadsheet tell. When patients rebuild by hand a thing that six shipped products already claim to do, the hand-built version stops being a workaround and becomes a specification. Every column they add is a requirement the category missed. Every column they leave out is a feature nobody needed.

And a crowded category that still loses to a spreadsheet is a harder starting position than an empty one. White space at least means nobody has tried yet. Here, six tools have already spent the trust: a cohort of patients downloaded them, got a composite score or a checkbox list or a cloud account they never asked for, and walked away believing rosacea tracking doesn't work. That belief is now the first obstacle any new tool meets, before a single feature gets evaluated.

A crowded category that still loses to a spreadsheet is a harder starting position than an empty one.

Why "nobody has built this yet" is the wrong read

The standard read on this category is that rosacea tracking is a niche too small to attract good engineering, and that the apps are thin because the market is thin. Look at what actually shipped and a different picture shows up: the effort went in, it just went into the wrong unit of record.

Most of these tools inherited the food-diary shape from migraine and IBS apps. One day, one row, a list of suspected triggers, maybe a mood slider. That shape quietly encodes an assumption, that an episode has a cause and the patient's job is to name it. Rosacea doesn't reward that assumption. Heat, sun, alcohol, stress and exertion stack on each other, and the same glass of red that does nothing in February lands badly in August after a hot walk home. A checkbox can't hold a threshold.

What the literature actually asks a tracker to record

Patient-reported trigger data has been public for years. The National Rosacea Society's patient surveys put sun exposure at the top around 81%, emotional stress just behind at 79%, and alcohol near 52%, with hot weather, wind, exercise, spicy food and heated beverages filling in underneath. The 81% / 79% / 52% figures come from the National Rosacea Society's 2002 Rosacea Triggers Survey (n = 1,066 patients), which ranked sun exposure (81%), emotional stress (79%), and alcohol (52%) among the top reported flare aggravators. Read that list as a ranking and you will build a checkbox app. Read it as overlap, because most patients report several of these and they co-occur constantly, and you build something else entirely.

The diagnostic frame moved too. The 2017 update from the National Rosacea Society Expert Committee (Gallo et al., JAAD 2018) retired the four-subtype model in favor of phenotypes: individual features, graded on their own, because real patients carry mixed and shifting combinations. The global ROSacea COnsensus panel (Tan et al., Br J Dermatol 2017) arrived at the same place. Ocular findings sit among the major features in that framework, not as a footnote for a separate specialist.

Then there is the question of whose skin the features are visible on. Erythema, the clinical term for visible redness, is the input nearly every tracker is designed around, and it reads poorly on Fitzpatrick IV to VI skin, where burning and stinging (the sensory phenotype, meaning what the skin feels rather than what it shows) carry more of the signal. Rosacea may be underreported and underdiagnosed in skin of color due to difficulty discerning erythema and telangiectasia. ([source](https://www.jaad.org/article/S0190-9622(18)32576-3/fulltext)) Automating that judgment with a camera makes the gap wider, not narrower. Adamson & Smith (JAMA Dermatology, 2018) flagged the underrepresentation of dark skin in dermatology training image sets, and Daneshjou et al. (2022) measured performance drops on darker skin when image classifiers were tested against a curated, diverse clinical set.

A Tuesday flare, logged two ways

Tuesday goes like this. Hot yoga at six, a glass of red with dinner, twenty minutes of late sun on the walk home because the evening was nice. Wednesday morning the cheeks are hot and tight and there are three new papules along the jaw.

The app asks what triggered it. The list offers alcohol, stress, spicy food, sun, heat, exercise, skincare. Four of those are true, so the patient taps wine, because wine is the one everyone talks about. The severity field wants a single number for the whole face, so a burning-but-clear day and a bumpy-but-calm day both get logged as a 6. The photo goes to the camera roll, where it will never be matched back to this row.

Six weeks on, the dermatologist asks what's changed. The honest answer is "wine, I think," and the appointment starts from nothing. The spreadsheet version of that same Tuesday has four exposure columns with amounts, separate ratings for redness and bumps and burning, and a filename that pins the photo to the date. It is uglier and it is more useful.

If the tell is right, the design brief is already written

Nobody needs to go hunting for the requirements here. Patients wrote them down already, in columns, on their own time, for free.

What that changes is the question the software asks. Stop asking for a cause. Record exposure (what, how much, how hot, how long), record features separately (redness, papules, flushing, eye irritation, burning), and bind the photo to the graded record on the day it was taken instead of leaving it loose in a gallery. Correlation then becomes something the data can surface across weeks, rather than something the patient guesses at in a dropdown while their face hurts.

One more requirement is implied in every one of those threads and almost never stated out loud. A pre-diagnosis patient photographing their own face has no good reason to hand that image to a cloud account in exchange for a trigger list. The spreadsheet, whatever else it gets wrong, stays on the machine.

What we built instead, and what we won't claim

Skinframe is our answer to that column list. Per-feature severity rather than one composite number, so a burning day and a bumpy day stop collapsing into the same 6. Photos captured inside the entry they belong to, at a consistent frame, so September is comparable to June. Sensory prompts that don't assume visible redness is where the signal lives, because for a large share of patients it isn't. Storage on the device, because we read the same equity literature everyone else can and we would rather not run a face-image pipeline we can't defend.

We can't tell you that tracking will reduce your flares. No rosacea-specific trial exists that would let anyone say that honestly, and the apps that imply it are getting ahead of the evidence. What a good record changes is the appointment. You walk in with dated evidence and a per-feature history instead of a six-week reconstruction, and the conversation starts somewhere real. Bring it to your dermatologist and let them do the diagnosing.