sample
Findings & actionsengine
The essentials — what to choose, what to improve, and what to understand about the buyer. Assembled automatically from every metric.
Choose
- ›Price 33–35k so'm/day — the demand-maximizing point.
- ›First focus — women 25–44 (71% willing).
- ›Launch: Tashkent and Samarkand — above-average demand.
Improve
- ›Address distrust of ingredients (29% barrier) — ingredient transparency.
- ›Boost uniqueness: diagnostic 41 — below the category norm.
Understand
- ›The top choice driver is natural ingredients (MaxDiff 100).
- ›Emotional response is positive (+0.42) — the concept genuinely resonates.
Concept diagnosticsvs norm
Each metric vs the Uzbekistan category norm. Green beats the market, yellow lags.
Clear
Liked
Unique
Relevant
Believable
Willing to try
worst 25%below normabove normbest 25%
Emotional response⭐
Not a polite 'yes' but real emotion — via face pictograms. Our layer, absent from ordinary surveys.
+0,42net valence (−1…+1) — the concept evokes positive emotion
34%
delight
30%
like
20%
neutral
11%
meh
5%
reject
Market opportunityestimate
How many real buyers sit behind these percentages — from audience to repeat purchases.
Целевая аудитория (города, 18–45)
Готовы попробовать
Купят по цене 33–35 тыс
Вернутся повторно
Who to sell to — segments⭐
Willingness to try, % — by gender and age. In your report you can slice any question by any segment (region, income, urban/rural).
| 18–24 | 25–34 | 35–44 | 45+ | |
|---|---|---|---|---|
| Женщины | 68% | 71% | 63% | 44% |
| Мужчины | 58% | 60% | 52% | 38% |
Price analysis⭐
The optimum is 33–35k so'm/day; above 40k demand drops by almost half.
Demand at each price
Willingness to pay (max price)
15%
≤25к
22%
25–30к
28%
30–35к
18%
35–40к
12%
40–50к
5%
50к+
What matters mostMaxDiff
People don't rate on a scale — they choose what matters most, so priorities are truer, especially in a bilingual market.
Natural ingredients
100
Price
82
Delivery convenience
63
Menu variety
45
Speed
31
Brand fame
16
Importance 0–100 (best-choice share), with a confidence interval. Choice-based method removes Russian/Uzbek scale bias.
What drives the choice⭐
Factor importance vs. how it is perceived today. The lower-right corner is important-but-weak: fix this first.
What stops the purchase
Share of mentions
Цена
44%
Недоверие к составу
29%
Привычка готовить самим
18%
Не знают о таких сервисах
9%
Loyalty (NPS)
Willingness to recommend · NPS +18
PromotersPassivesDetractors
Voices of buyersverbatims
Real quotes with gender, age and city — filterable by sentiment. In the report, AI groups them by theme.
«Finally proper food without cooking — if the ingredients are honest, I'd take it right away.»F, 34, Tashkent
«Convenient for working moms, the price is fine if it's for the whole day.»F, 28, Samarkand
«The idea is clear, but I'd need to see the menu — it might be repetitive.»M, 41, Fergana
«I don't believe the 'natural' claim — everyone says that. I'd need proof.»M, 37, Tashkent
«This would suit my parents — cooking every day is hard for them.»F, 45, Andijan
«Depends on delivery — if it's slow, there's no point.»M, 24, Namangan
Geography of responses
How many respondents were collected in each region — and any metric can be viewed by region.
Purchasing power stat.uz + World Bank
Average wage (nationwide, Q1 2026)6.8 mln so'm/mo ≈ $565/mo
Inflation (CPI, annual)+7.3% (2025)
35,000 so'm is the price per day: ordering every day comes to 1.1M so'm a month, about 15% of the average wage; three times a week — about 7%.
Recommendations & next steps
- Launch in Tashkent and Samarkand — demand and income are above average there.
- Price at 33–35k so'm/day — peak demand without losing margin.
- In messaging — natural ingredients and convenience (top drivers), addressing distrust.
- First focus — women 25–44 (71% willing), then expand.
What you get⭐
The full set of data and cuts for your question — not a single number, but a decision tool.
✓Срез по любому вопросу × сегменту (пол, возраст, регион, доход, город / вне города)
✓Кросс-таблицы и тепловые карты
✓Разбор цены: кривая спроса, оптимум, готовность платить
✓Драйверы выбора и барьеры — с приоритезацией
✓NPS и воронка лояльности
✓Региональные срезы на карте
✓Взвешивание под структуру населения (stat.uz)
✓Выгрузка данных (Excel/CSV) для своих моделей
✓Открытые ответы (цитаты) по темам
✓Живой дашборд + PDF-отчёт
Methodology & data quality
500 responses · ±4 pp precision guide · National Statistics Committee quotas · AAPOR / Pew / Cochran
Details
We surveyed 500 people. A nationwide figure may differ from a full census-style survey by roughly ±4 percentage points; within group cuts the spread is wider than across the full sample. The sample is quota-based — its composition is set by gender, age and region (Milliy statistika qo'mitasi) and re-weighted to that structure — so ±4 is a guide to precision, not a strict statistical guarantee. Data is stored in Uzbekistan and processed without names. AAPOR, Pew, Cochran standards.
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