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This repository was archived by the owner on Dec 12, 2024. It is now read-only.

OKRs and KPIs

Chris Pondoc edited this page Feb 13, 2024 · 1 revision

OKRs and KPIs

To help us measure success, below are our OKRs and KPIs

OKRs

Objectives and Key Results (OKRs) Scores and Notes
O Help restaurants diversify their wine lists by connecting them to smaller vineyards looking to diversify their revenue streams - Have been working on talking with restaurants and wineries alongside trying to make our initial MVP (see KRs)
KR1 Reach out to 5+ small- and medium-sized wineries to understand pain points around selling to restaurants + distribution in general - Have had one call with a former partner at 3 Steves Winery and have a call set up for 2/16 with Leaf and Vine Winery β†’ continuing to reach out to more wineries to identify more pain points
KR2 Reach out to 3+ restaurants to understand problems around sourcing diverse wine lists. If possible, connect with sommeliers, and establish strong relationship/potential advisorship - Have reached out to multiple restaurants more on the high-end side in the area and have received a response saying that we can email over questions
KR3 Build out simple MVP, also onboard restaurants + maintain relationship through creating custom curated lists as well as launching initial rec algorithm - Have discussed the MVP structure of using a vector database alongside OpenAI GPT to make initial MVP

KPIs

Key Performance Indicators (KPIs) Details Relevant Metrics and Notes
Number of searches Number of users who returned and made a search within one month - Need to Ship MVP to get more details
Number of clicks In particular, clicking on a search result for a wine and click rate for promotional emails - Need to Ship MVP to get more details
Recommendation algorithm accuracy Recommendation algorithm will predict a score out of 10. When a user rates a wine that was recommended, we can store the average percent error of the user’s wine rating to the rating predicted from algorithm. - Need to Ship MVP to get more details
Number of transactions that occur on the platform Look at periodicity β†’ what is the habit of restaurants buying wines - Need to Ship MVP to get more details
Number of bottles sold Relatively simple evaluation metric - Need to Ship MVP to get more details
Number of new users signing up both on vineyards and restaurants side β€œChicken and egg problem” – validates who has more pain points - Need to Ship MVP to get more details

Table of Contents

For other information, check out our team's Google Drive. For a daily stream of thoughts, check this document.

Important Documents

Meetings

General Meetings

SGM Notes

Unusual Ventures Meetings

Kenja: A New Experience for Shopping

Initial Brainstorming

Needfinding

Customer Discovery Calls

Prototypes

Wine Marketplace Platform

Initial Brainstorming

Wine Needfinding

Prototypes

Miscellany

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