Conditions of Satisfaction¶
(Supersedes v2. Simplified from 12 to 9 conditions after the meeting with Davide. Main changes: consumer validation now comes first and brand monetization second; gamification removed from MVP scope; Startup Day added as the closing milestone of the project; target-user definition and RAMI differentiation analysis added; team/burn conditions merged.)
| # | Condition | Target |
|---|---|---|
| 1 | Define target user & unique value proposition | One page defining: target demographic (20–30), the adherence/waste value proposition, and pricing hypothesis for the B2B insights layer. Completed RAMI model exercise: what we build vs. buy/integrate, and explicit differentiation vs. Yuka and similar apps. Reviewed with Davide. |
| 2 | Validate consumer-side pain (adherence + waste) | 20–30 interviews with people aged 20–30 (gym-goers, diet followers, sustainability-minded). Confirm: they struggle to stick to food goals; current apps don't solve it for them; they would scan at the shelf or at home for this value. All claims and numbers used publicly must have a verifiable source. |
| 3 | Startup Day pitch (closing milestone) | Pitch delivered at Startup Day (AlmaCube / Confindustria ER), the milestone that concludes the project. Tetra Pak slide sent to Davide for review in advance; official CBI Tetra Pak logo used. ≥1 in-person pitch practice with Davide before the event. Outcome captured: feedback notes + any accelerator/competition result. |
| 4 | Validate data integration feasibility | Working prototype pulling product data from: Open Food Facts API; at least 1 real producer source (manual upload, scraping, or API). |
| 5 | MVP with both sides functional, no gamification | Consumer side: scan QR → personalized "does this fit my goals/profile" result + expiry/fridge tracking; ≥10 real products; anonymous scan with no login; optional account unlocks personalization. No rewards, points, or lottery in this MVP. Brand side: deliberately simple dashboard (no beautification) showing scans and anonymized aggregates only: account data stays behind the privacy wall. Includes a short written data/GDPR position: who owns consumer data, what brands see, consent and erasure approach. |
| 6 | Consumer traction signal | ≥50 consumers with an account (the cohort we trust). ≥30% of account holders return in week 2, the headline retention number. ≥50% of account holders perform 2+ scans (floor, not average). Scan→account conversion tracked as the primary engagement signal; anonymous returns reported as directional only. |
| 7 | Brand-side validation signal | ≥10 interviews with brand-side managers confirming interest in anonymized engagement insights. ≥1 brand signs an LOI or pilot agreement with a real price point (even symbolic). A free pilot counts as usage evidence, not payment evidence. |
| 8 | Apply to ≥3 funding opportunities | Applications submitted across: EU bandi (EIC, Horizon), regional bandi (Emilia-Romagna), incubators (AlmaCube accelerator, G-Factor, EIT Food). Startup Day prize counts as one path. |
| 9 | Team execution & burn discipline | Defined roles, ~10 hrs/week per person, weekly sync, written team agreement signed. ≥2 advisory check-ins with Davide and ≥1 introduction via the AlmaCube/Tetra Pak network. Total spend ≤ €500, self-funded, tracked in shared spreadsheet. |