Platform & Integration:

The candidate recommends integrating the product within the Meta ecosystem (e.g., Facebook) to leverage its massive user base.

Product Goal (Assumed):

To support gardening enthusiasts and align with Meta’s mission to build community and promote environmental consciousness.

Target User Segment:

Focused on Passionists — hobbyist gardeners who grow plants at home — rather than commercial users who are already knowledgeable.

Key User Pain Points Identified:

1. Lack of knowledge on suitable plants for specific weather and soil conditions.

2. Uncertainty about space requirements for plants.

3. Inability to visualize future plant growth.

4. Lack of watering knowledge (frequency and quantity).

5. Tendency to forget watering.

6. Difficulty identifying and treating plant diseases.

7. Desire to share their garden progress with friends and community.

Proposed Features (Solutions):

1. Input-based plant recommendations tailored to local weather and soil conditions.

2. Visual previews of plant growth and area coverage.

3. Smart watering recommendations based on climate data.

4. Watering reminders via push notifications.

5. AI/ML-based plant disease detection via photo uploads.

6. Social sharing features within Meta (e.g., image posts with likes/comments/shares).

Prioritization (MVP):

Start with addressing pain points 1–5 and 7 by building features 1–4 and 6. Disease detection (pain point 6, solution 5) is valuable but complex, and can be added later based on time and resources.

Success Metrics:

1. Number of unique users who try the feature.

2. Number of users submitting soil/weather info.

3. Number of shared garden images.

4. Engagement rate on shared posts (likes/comments/shares).