Zepto Cafe: Snacc & Freshness Trust Labels
Make Zepto Cafe feel like a reliable office snack assistant — not a generic food menu — so office users can confidently order and reorder during short work breaks.
| Product area | Zepto Cafe |
| Primary user segment | Office workers and urban professionals |
| Problem | Increase repeat orders by improving trust, contextual relevance, and ease of choice. |
| Primary feature 1 | Snacc (moment-based curation) |
| Primary feature 2 | Freshness and Trust Labels |
| Good-to-have | Snack Window Alerts · Office Combos · Item-Level Feedback |
| North Star Metric | 30-day repeat order rate among office users |
| Version | v1.0 |
1
Executive Summary
Zepto Cafe has strong first-order demand (100k+ daily orders) but weak repeat behavior. Office users may try Cafe because of curiosity, hype, or convenience — but they do not repeat unless they believe the food will be fresh, tasty, filling, on time, and worth the price compared to the cafeteria or nearby options.
This PRD proposes Snacc, supported by Freshness & Trust Labels, to make Cafe more relevant to office snack moments and help users choose reliable items with confidence.
PRD outcome — design a complete first-order to repeat-order journey where office users discover relevant snacks, trust item quality, order in seconds, give item-level feedback, and reorder in one tap during the next snack window.
2
Problem Statement
Office workers need a quick, reliable snack option during short work breaks — but Zepto Cafe does not yet create repeat confidence. Users are unsure whether items will be fresh, tasty, filling, available at the right time, and worth the price versus the cafeteria.
2.1 Evidence from research
- Users care most about freshness, taste, and fast delivery (30 interviews).
- Top barriers: cafeteria habit, food not fresh, limited availability, unreliable taste, limited menu, portion-vs-price mismatch.
- Positive triers still didn't repeat — items felt expensive vs. offline alternatives.
- Poor first experiences (stale sandwich, delayed delivery, disappointing samosa) killed repeat intent.
- The core barrier is lack of repeat confidence, not lack of awareness.
2.2 Business impact
- Lower second-order conversion after first trial.
- Lower Cafe page-to-order conversion in high-intent snack windows.
- Weak habit formation among office users.
- Higher dependence on discounts, curiosity, and hype.
- Lower item-level repeat rate when users can't identify reliable options.
3
Target Users & Use Cases
3.1 Primary segment
Office workers and urban professionals ordering quick snacks, beverages, or light meals during working hours.
3.2 Secondary segments
- Students needing fast snacks between classes.
- Late-night workers wanting quick Cafe items during extended hours.
- Home users wanting quick beverages or desserts without a restaurant app.
3.3 Core user jobs
| Use case | User need |
|---|---|
| Quick coffee break | Coffee + a small snack between meetings without browsing a large menu. |
| Evening snack | Something hot, tasty, and affordable around 4–6 PM. |
| Lunch gap filler | A light, filling option when the cafeteria isn't appealing. |
| Late work craving | A fast snack while working late. |
| Team snack moment | Snacks that can be shared with colleagues at work. |
4
Goals & Non-Goals
4.1 Product goals
- Increase 30-day repeat order rate among office users (12% → 25%).
- Improve second-order conversion after first Cafe order.
- Reduce decision-making effort on the Cafe page.
- Improve perceived trust in freshness, taste, temperature, and portion value.
- Make Cafe contextual to office snack windows.
- Enable quick reordering for items the user liked earlier.
4.2 Non-goals for MVP
- Do not redesign the entire Zepto app.
- Do not build a separate Zepto Cafe app (SNACC lesson).
- No full subscription / snack pass in MVP.
- No complex group ordering or split payments.
- No production backend, real login, or payment integration in prototype.
5
Proposed Solution
5.1 Primary feature 1 — Snacc
A dedicated experience inside Cafe organised around snack moments, not categories. Users are usually on a short break — they don't want to browse a large menu.
- Five moments: Morning kickstart · Mid-morning fix · Desk lunch · 4 PM snack break · Late-night grind.
- Auto-selects the current moment based on time of day; user can override.
- Filter chips: Ready Fastest · Filling Under ₹149 · Healthy · Team snacks.
- Short, curated, moment-appropriate menu — not the full catalog.
- Opt-in snack window alert — one nudge 5 min before the user's usual window.
5.2 Primary feature 2 — Freshness & Trust Labels
Visible, algorithmic signals on item cards and PDP that reduce perceived risk:
- Freshly made — prepared after order.
- Served hot — ≥ 60°C at handover.
- Filling portion — weight-verified by ops.
- Top rated 4.5★+ — 1000+ office users.
- Most reordered near you · Ready fastest · Office favorite.
Labels appear on cards, PDP, and cart lines. PDP shows a 3-metric breakdown (Fresh / Hot / Portion satisfaction %).
5.3 Good-to-have — Snack Window Alerts
Contextual, personalised, inventory-aware notifications during high-intent windows (4–6 PM, lunch gaps, late nights). Hard cap: 1 per user per day.
5.4 Good-to-have — Office Combos & Value Bundles
Team Tea, Focus Fuel, Late-Night Crunch. Priced below solo sum; one tap adds all. Improves value perception without deep discounts.
5.5 Good-to-have — Item-Level Quality Feedback
Post-delivery one-screen rating on Taste, Freshness, Portion, Temperature, Packaging, Value — feeds trust label scores in near real-time.
6
End-to-End User Journey
| Stage | User action | Need / friction | Product intervention | Key metric |
|---|---|---|---|---|
| 1. Trigger | Hungry during a short office break. | Needs something quick & reliable. | Snacc entry point during office context. | Cafe opens, snack-window CVR |
| 2. Cafe entry | Taps Cafe tab. | Generic menu feels broad. | "Snacc is ON" banner + moment auto-selection. | Page-to-order CVR |
| 3. Browse | Scans moment sections. | Wants fast, filling, fresh, or healthy. | Quick Coffee Break, Evening Snacks, Ready Fastest, Filling Under ₹149. | Section CTR, time to add-to-cart |
| 4. Trust decision | Compares item cards. | Uncertain about taste, freshness, heat, value. | Trust labels on cards & PDP. | Card CVR, labelled-item repeat rate |
| 5. Cart | Adds items. | Wants confidence order fits the break. | Cart titled "Your Office Snack Break" + delivery promise. | Cart CVR, AOV |
| 6. Tracking | Waits for order. | Needs prep & delivery confidence. | Status: received → preparing → packed for freshness → arriving. | Cancellation, delay rate |
| 7. Delivery | Receives & consumes. | Must match trust promise. | Ops consistency backs labels. | Freshness / taste rating, complaints |
| 8. Feedback | Rates item quickly. | Doesn't want a long review flow. | Chips: taste, fresh, portion, temp, pack, value. | Feedback response rate |
| 9. Repeat visit | Returns next snack window. | Wants fast reorder. | "Repeat your coffee break?" 1-tap module. | Quick reorder rate, 2nd-order CVR |
7
Product Scope
7.1 In scope for MVP
- Snacc banner and landing section inside Zepto Cafe.
- Office-specific chips: Quick Coffee Break, Evening Snacks, Ready Fastest, Filling Under ₹149, Healthy Bites, Team Snacks.
- Trust labels on selected item cards.
- "Most Reordered Near Your Office" rail.
- Item detail page with trust labels + delivery promise.
- Cart titled "Your Office Snack Break".
- Order tracking with freshness-oriented status messaging.
- Item-level feedback after delivery.
- "Repeat your coffee break?" module for returning users.
- Clickable prototype from first order to reorder confirmation.
7.2 Out of scope for MVP
- Full Zepto app redesign.
- Real login, OTP, payment, or production backend in prototype.
- Full AI personalisation engine.
- Group ordering / split payments.
- Corporate billing / snack pass.
- Menu supply-chain changes; dedicated delivery ops.
- Live inventory integration in prototype.
8
Functional Requirements
| ID | Requirement | Description | Priority |
|---|---|---|---|
| 1 | Cafe entry | User can enter Cafe from home or bottom nav. | Must |
| 2 | Snacc banner | Cafe landing shows "Snacc is ON" with current moment. | Must |
| 3 | Moment tabs | Morning kickstart · Mid-morning fix · Desk lunch · 4 PM · Late-night. | Must |
| 4 | Category chips | Quick Coffee Break, Evening Snacks, Ready Fastest, Filling Under ₹149, Healthy, Team. | Must |
| 5 | Most Reordered Near Office | Row of office-relevant items. | Must |
| 6 | Trust labels | Cards show Most Reordered, Ready Fastest, Served Hot, Filling Portion, 4.5★+. | Must |
| 7 | Add to cart | 1-tap add from card, quantity stepper. | Must |
| 8 | Item detail page | Price, quantity, labels, delivery promise, Add to Cart CTA. | Should |
| 9 | Cart / checkout | Selected items + Place Order CTA; "Your Office Snack Break". | Must |
| 10 | Order tracking | Preparation and delivery progress. | Must |
| 11 | Feedback | Delivered screen asks item-level feedback via chips. | Must |
| 12 | Repeat visit | Returning user sees "Repeat your coffee break?". | Must |
| 13 | One-tap reorder | Reach reorder confirmation in one tap. | Must |
| 14 | Snack Window Alerts | Opt-in notification entry point. | Nice |
| 15 | Office combos | Combo recommendation in cart or Cafe section. | Nice |
9
Prototype Requirements
Clickable mobile-first flow inspired by a quick-commerce Cafe experience — no production UI copied.
9.1 Screens to build
| # | Screen | Purpose |
|---|---|---|
| 1 | Zepto home / Cafe entry | Delivery time, location, store tabs, search, Cafe entry. |
| 2 | Cafe landing (Snacc ON) | Snacc banner, moment auto-selection, office chips. |
| 3 | Quick Coffee Break section | Coffee & snack products with trust labels. |
| 4 | Item detail page | Price, quantity, labels, delivery promise, Add to Cart. |
| 5 | Cart page | "Your Office Snack Break" + Place Order. |
| 6 | Order tracking | Preparing → packed for freshness → picked up → arriving. |
| 7 | Delivered + feedback | Chips: taste, freshness, portion, temp, packaging, value. |
| 8 | Repeat visit | "Repeat your coffee break?" with previous order. |
9.2 Clickable flow
Cafe → Snacc landing → Quick Coffee Break → item detail → add to cart → cart → place order → tracking → delivered feedback → repeat visit → reorder in one tap → reorder confirmation.
9.3 Sample content
- Vietnamese Cold Coffee — ₹101 · 350 ml · Most Reordered · Fresh · 4.5★+
- Chili Cheese Toast — ₹75 · 120 g · Hot · Fresh · Filling
- Adrak Chai — ₹39 · 250 ml · Ready Fastest · Office favorite
- Veg Puff — ₹49 · 100 g · Hot · Fresh · Office favorite
- Cheese Maggi — ₹69 · 180 g · Hot · Filling
10
Metrics & Experiment Plan
10.1 North Star
30-day repeat order rate among office users: 12% → 25% within 6 months.
10.2 Primary metrics
| Metric | Baseline | 6-mo target |
|---|---|---|
| 30-day repeat order rate (office) | 12% | 25% |
| 2nd-order conversion after 1st Cafe order | — | ≥ 45% |
| Orders per active office user / month | 1.4 | 2.8 |
| Snacc DAU / Cafe DAU | — | ≥ 40% |
| Snack-window alert CTR | — | ≥ 12% |
| Time: Cafe open → add-to-cart | — | ≤ 25s |
| % Cafe orders with ≥ 1 trust label | 0% | 100% |
| Combo attach rate on evening orders | — | ≥ 18% |
10.3 Secondary metrics
- Item-level repeat rate.
- Avg rating for freshness / taste / portion / temperature / packaging / value.
- CTR on Snacc sections.
- Conversion of labelled vs. non-labelled items.
- Discount dependency for repeat orders.
- Post-delivery feedback completion rate (target: 8% → 35%).
10.4 Guardrail metrics
- Order accuracy ≥ 98%.
- Avg delivery time ≤ 12 min.
- Refund rate flat or down.
- Cancellation rate.
- Low-rating rate on labelled items.
- Notification opt-out rate ≤ 5% weekly.
- Gross margin per order.
10.5 A/B experiment plan
- Exp 1 — Snacc vs. current Cafe home. 50/50 split in Mumbai + Bengaluru office pincodes.
- Exp 2 — Trust labels on/off holdout on labelled items. Measure labelled-item CVR lift.
- Exp 3 — Snack window alert opt-in rate & 7-day retention lift.
11
Rollout, Risks & Open Questions
11.1 Rollout plan
- Week 1–3 — Trust label pipeline + labels on PDP (silent A/B, 2 cities).
- Week 4–6 — Snacc + Your usuals + combos. 10% rollout, Mumbai + Bengaluru office pincodes.
- Week 7–8 — Snack-window alerts + item-level feedback. Ramp to 50%.
- Week 9+ — 100% if repeat lift ≥ +6pp with guardrails green.
- Ongoing — Use feedback to refine labels, categories, ranking, weak items.
11.2 Key risks & mitigations
| Risk | Impact | Mitigation |
|---|---|---|
| Trust labels feel inaccurate | Users feel misled; trust drops further. | Start with data-backed labels (Most Reordered, Ready Fastest). Auto-revoke below 7-day threshold. |
| Snacc feels too narrow | Users think full menu is hidden. | Prominent "View full Cafe menu" affordance. |
| Notification fatigue | Snack Window Alerts increase opt-outs. | 1 push/user/day cap, inventory-aware, per-moment toggles, opt-in only. |
| Combos hurt margin | Higher volume, lower profitability. | Pilot combos in select locations; monitor gross margin weekly. |
| Low feedback response | Weak item-quality signals. | Quick chip UI; ≤ 10 s to complete. |
| Ops doesn't match promise | "Freshly made" / "Hot" labels backfire. | Enable labels only for items with reliable ops performance. |
11.3 Open questions
- How should Zepto identify an office-like location without being invasive?
- Which trust labels can be reliably backed by existing data from day one?
- Should Snacc auto-activate, be user-selected, or both?
- Minimum order density needed to show "Most Reordered Near Your Office"?
- Which items should be excluded from freshness labels due to operational variability?
- Should repeat modules show only after positive feedback, or after any completed order?
- How frequently can Snack Window Alerts fire without causing fatigue?