Locate Residents - Collection and Insights

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מועצה איזורית מבואות חרמון

Locate residents, assess needs.

Problem

The war has caused a lot of residents to move to other areas of the country and evacuate, so the municipality may not be aware of where they are and how to help them.

עיקר הבעיה - הקשר עם האנשים שמתפזרים יותר ויותר. בהתחלה פינוי של 6 יישובים ראשונים - היו מעט אנשים ביישוב והרבה אנשים במלונות. לאט לאט אנשים עוזבים את המלונות, חלקם חוזרים ליישוב וחלקם מתפזרים באיזור הגליל וחלקם בכל רחבי הארץ.

מאוד קשה לשמור על קשר כשאין נוכחות פיזית של התושבים באותו מקום.

המטרה של המועצה היא לתת מענה בחירום ולדאוג לקשר עם התושבים, לתת להם מענה שוטף אבל לשם כך הם צריכים לדעת איפה הם נמצאים.

The war has made many people leave their homes, and now it's hard for the municipality to find them and help them.

Assumptions:

- The main thing that's needed is accurate data about the residents.

- We have the phone numbers of most of the residents

Solution

כיום, העובדות מתקשרות לנציגים במלונות או לקבלה במלונות כדי להבין מי נמצא באיזה מלון (כמה אנשים ומאילו יישובים במועצה)

הם מבקשים מהקבלה במלון את הרשימות. בקבלה יודעים את כמות החדרים אבל לא יודעים הרבה מעבר לזה. המידע לא מעודכן (מדובר במעל 3700 תושבים מפונים). לגבי האנשים שלא נמצאים במלונות - יש להם את מערכת יחד - מערכת ממשלתית שלא מעודכנת.

Solution description:

Overall, the proposed system equips the municipality with the tools necessary to navigate the complexities of managing displacement caused by the war. By leveraging technology for data collection, visualization, and analysis, authorities can make informed decisions, and coordinate response efforts.

Data Collection:

Chatbot: This will be the primary tool for residents to interact with and provide information about their current location (hotels, cities, towns).

Data Visualization:

Reports Dashboard: This will present the data collected by the chatbot in a structured format. You can imagine tables or charts showing how many residents are in each location.

Insights Dashboard: This will go beyond just showing raw data. It will use visualizations and analytics to uncover patterns and trends. For example, it might show the areas with the most displaced residents or highlight areas with a lack of resources.

Out of scope:

We thought of adding a CRM but I think that for now, we will stay with a google sheet

Objectives:

1. Have something that the municipality team can maintain in the long-term.

2. Adhere to the security requirements so they can actually use it

Quantitative:

User Engagement:

Number of chatbot users: Measures the number of displaced residents who use the WhatsApp chatbot to register and communicate their needs.

Frequency of user interaction: Tracks how often users interact with the chatbot, indicating its usefulness and ease of use.

Completion rate of registration process: Measures how many users complete the initial registration process within the chatbot.

Data Collection:

Number of resident locations submitted: Tracks the number of displaced residents who share their location through the chatbot.

Variety of needs identified: Measures the range of different needs reported by residents.

Data completeness: Evaluates how much essential information (location, needs) is captured from each user interaction.

Potentials:

Cost and security

Risks:

Security risk - I need to provide a document to their digital rep, detailing the security measures for this project (as there's very sensitive data here including phone numbers, names and number of residents per community

Feature prioritizing:

2.2. Develop core chatbot functionalities:

User registration and profile creation.

Location sharing (city, town, hotel).

Needs identification with clear prompts and options.

Basic communication features (FAQs, contact information).

2.3. Integrate data collection and storage mechanisms.

2.4. Implement error handling and troubleshooting procedures.

2.5. Beta test the chatbot internally and refine based on feedback.

3. Data Visualization (Data Visualization Specialist)

3.1. Design real-time dashboards to display collected data:

Resident location distribution across affected areas.

Breakdown of reported needs by category (food, shelter, medical etc.).

Visualizations for trends and changes over time.

3.2. Ensure dashboards are clear, informative, and user-friendly for municipal staff.

3rd parities needed: - Wati or other no-code platform to build and maintain a WhatsApp bot

- Grafana or other dashboarding platform to see the data and get insights

The team

Tech-stack: Data analyst, Backend, Devops, Data engineering

Idle team:

Probably data and backend mostly, and devops for the environment and to set-up everything.

Non tech roles:

Ratings:

* Affective: 4

* Achievable: 4

* Simultaneously working is possible: 4

* Usable: 4

* Mailenable: 3

* Confidence: 3

* Doable: 4

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