Understand how products feel, perform, and fit into real routines.
Beauty and personal care products are judged across every use, from the first touch and finish to fragrance, performance and the place they earn in a routine.Enumerate brings qualitative, product-use, sensory, claims and visual research together, so teams can understand what builds preference and what breaks repeat.
It sank in quickly and left my skin soft, not greasy.
Skincare user · diary
on GreenbookVerified reviews from research teams on GreenbookPersonal care choices happen in the moments people notice.
A product is not just liked or disliked. A cleanser rinses clean, a moisturiser leaves a finish, a deodorant carries through the day, a toothpaste feels fresh, a pack earns trust and a routine makes repeat feel natural. Enumerate keeps those signals connected so teams can see what drove preference, what broke repeat and what needs to change before launch.
Feel signals get averaged away
Texture, foam, rinse, residue, fragrance, freshness and after-feel each tell a different story.
First use is not the full story
A product can impress on day one and still lose repeat when residue builds, freshness fades or irritation shows up.
Claims land differently in context
The same claim, ingredient cue, fragrance or pack can shift by climate, market, skin type, hair type and habit.
See what holds up, and what changes through the day.
Follow diary evidence, skin-type differences and sensory grades from first application to the moments that build preference or break repeat.
Coverage and shade match carry preference. Shine returning by midday is most common among oily and combination skin and is reflected in the weaker oil‑control grade. The clearest next step is to improve oil control without compromising coverage.
“Coverage was still there at the end of the day. That never happens for me.”Oily skin · Diary · humid city
“By lunch the shine was back on my T‑zone.”Combination · Diary · midday wear
Ask the study what matters
Explore what won, what got in the way, who experienced it differently and what should change next. Enumerate keeps every answer connected to the evidence behind it.
Foundation Wear Study28 respondents · diary + sensoryEvidence connectedFrom product experience to a stakeholder-ready read.
Collect richer diary and open-end responses with AI follow-ups, bring in IDIs, FGDs, video, images, claims and grids, then code, compare and report everything from one study view. Your team stays in control, and every finding stays linked to the evidence behind it.
Explore each step →Probe
When someone says a product feels sticky, fresh, harsh, heavy, premium or hard to use, AI asks the next useful follow-up while the study is still live.
- AI asks the useful next question
- Captures richer async responses
- Works across 40+ languages
- Links every answer to context
Give stakeholders the answer and the evidence.
Reports, reels and segment cuts, each tied back to the study.
AI-drafted reports grounded in source evidence and ready for your team’s review.
Short, shareable clips that bring the feedback to life.
Quick cuts by market, segment, study stage or any filter.
Every quote coded and tied back to the source, in 40+ languages.
One platform across the studies your team already runs.
Move between methods without losing the respondent, context, segment or evidence behind the answer.
AI‑probed diaries & open ends
When someone says a lotion feels sticky, a shampoo leaves residue, a toothpaste burns, a deodorant fades or a pack feels premium, AI probing asks the next useful question. Enumerate turns diary entries and open ends into coded evidence by product, attribute, respondent and segment.
Explore the At home usage testing use case- AI follow‑up probes
- Open‑end coding
- Routine moments
- Attribute evidence
AI‑probed diaries & open ends
When someone says a lotion feels sticky, a shampoo leaves residue, a toothpaste burns, a deodorant fades or a pack feels premium, AI probing asks the next useful question. Enumerate turns diary entries and open ends into coded evidence by product, attribute, respondent and segment.
Explore the At home usage testing use case- AI follow‑up probes
- Open‑end coding
- Routine moments
- Attribute evidence
Start with the decision you need to make.
See all research methods
Shopper studies
Shelf, pack, routine and purchase cues.
Explore →
In‑home usage testing (IHUT)
Real routines, from first use to verdict.
Explore →
Concept & proposition testing
Monadic option reads, proof and category fit.
Explore →See the platform in action
Turn your next beauty study into a clearer product decision.
Connect conversations, product-use, sensory, claims and visual evidence in one place, with every recommendation linked to its source.