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Section 3 | Automatic List of Potential Host #604

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jasika-ai opened this issue Sep 20, 2023 · 1 comment
Open
3 tasks
Tracked by #618 ...

Section 3 | Automatic List of Potential Host #604

jasika-ai opened this issue Sep 20, 2023 · 1 comment
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Complexity: Small Issue has detailed instructions to resolve and the task is simple. draft p-Feature: Matching points: 1 Can be done in 4-6 hours Role: PM Section: 3 Related to Major Flows Section 3: Matchmaking / Relationship Creation Process User Stories

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@jasika-ai
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jasika-ai commented Sep 20, 2023

The Problem

Guests do not currently have a way to look at an automatic list of potential Hosts who match their criteria.

User Story:

As a Guest, I should be able to see a list of potential Hosts who match my criteria and needs so that I can select one Host with the coordinator and begin the matching process.

High-Level Approach

Once the Guest has completed the orientation training, they have a list of potential Hosts on their dashboard so that they can select one Host profile to enter the match-making process with their coordinator.

Solution Alignment

Considerations

Some fine-tuning of the algorithm may be necessary based on real-world usage.

Goals and Success

Guests can successfully determine the Host they want to select and share with the coordinator to begin the matching process.
Optimize coordinator time allocation for support rather than manual matching.
Enhance the experience for the Guest by providing personalized potential matches.

Key Features

Define criteria for matching based on the Yes/No questions under the General Information Category
Page 7 Guest Application
For example:
Language Proficiency (Bilingual/Multilingual)
Smoking Habits (Smoker/Non-Smoker)
Drinking Habits (Drinker/Non-Drinker)
Substance Use (User/Non-User)
Mental Illness (Sufferer/Non-Sufferer)
Pets
Additional adults/kids accompanying guest to the host home
Matching Algo. The excel attached here outlines different scenarios for match/no match

Acceptance Criteria

The automated matching solution takes as input the answers to the YES/NO questions filled by the Guest and the Host during the onboarding and generates a list of potential Host for the Guest based on their criteria.

Known Limitations

The solution's success for each Guest would be based on the quality and completeness of guest and host application data.

Designs

  • Review existing designs on Figma;
  • Edit existing designs as needed;
  • Designs are edited and ready for engineering.

Engineering

Key Decisions

Team Reviews:

Product - Jasika
Design -
Engineering -

@lola3736
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@jasika-ai , I added the following label, please review for accuracy:

  • Draft

@lola3736 lola3736 added the Complexity: Small Issue has detailed instructions to resolve and the task is simple. label Oct 18, 2024
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Labels
Complexity: Small Issue has detailed instructions to resolve and the task is simple. draft p-Feature: Matching points: 1 Can be done in 4-6 hours Role: PM Section: 3 Related to Major Flows Section 3: Matchmaking / Relationship Creation Process User Stories
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