Role: Product Owner / Product Manager

Status: Prototype

Tech: LLM (OpenAI), UI (Loveable)

1. Problem Statement

Who is the user?

• Recreational and competitive golfers who practice at driving ranges and want to improve specific parts of their game efficiently.

What problem do they face today?

Golfers typically arrive at the driving range with a fixed number of balls (e.g., 30, 50, 75) but no structured plan for how to use them. Practice sessions are often unorganized and driven by habit or impulse rather than intentional training goals.

As a result, golfers frequently:

• Spend too many balls on favorite clubs (e.g., driver) and neglect weaker areas
• Lose track of how many balls they’ve already hit per club
• Make on-the-spot decisions about what to practice, leading to inconsistency
• Struggle to balance short-game, long-game, and situational practice
• Finish sessions feeling unfocused or unsure if their time was used effectively

Without a simple planning tool, golfers must mentally calculate and adjust their practice allocation in real time, which adds unnecessary cognitive load and reduces the quality of practice.

Example:

A golfer buys a 30-ball bucket intending to work on wedges and irons, but ends up hitting 15 drivers out of habit. They run out of balls before practicing their weaker shots and leave without clear progress.

Why Existing Solutions Fall Short:

Next, I have asked ChatGPT to do research for me using Microsoft recommended Prompt Basics:

1. Goal – What do you want from Dragon Copilot?
2. Context – Why do you need it and who is involved?
3. Source – Which information source(s) or sample(s) should Dragon Copilot use?