[📚] RSD - Planning: Todo/Goal Management Routine System: Concept Definition and Design

✨ Summary by Gemini 2.5 Pro 　

When I think about managing goals or tasks these days, I eventually arrive at the thought that a ‘system’ is the answer. There are clear limits to relying on willpower every time or handling things in an improvised way.

• Original: http://blog.naver.com/hyeogikarp/223875668916
• Naver publication time: 2025/05/23 20:17 KST
• Original category: Core Concepts

Original Post

When I think about managing goals or tasks these days, I eventually arrive at the thought that a “system” is the answer. There are clear limits to relying on willpower every time or handling things in an improvised way.

What I consider a good system is one that “automatically” presents what the user needs without making the user think through everything one by one. (For example, when setting a “diet” goal, it automatically recommends a daily calorie target and matching diet/exercise routine.)

After thinking this through, I decided to design my growth system by separating it into two large axes: a “todo management routine system” and a “goal management routine system.” Today I want to organize my ideas for these two systems.

Below is the final summary I had Gemini organize after spending a long time discussing and debating with it.

📋 Part 1. Todo Management Routine System: The Smart Assistant That Rules My Day

The core purpose of this system is clear: systematically manage and execute every kind of task that appears each day, raising daily productivity and satisfaction to the highest level. It could be described as a capable personal assistant.

✅ What kinds of “tasks” will it manage?

This system classifies and manages several kinds of quests according to the nature of each task.

• 💻 Project Tasks

• Today’s concrete missions for achieving the larger goals set in the “goal management system.”

• Examples: “finish app UI design draft,” “develop backend API feature”

• 🧺 Routine Daily Quests

• Regular activities that keep quality of life and the environment pleasant. It would be good to display these tasks in a different color in the list so they can be distinguished from project tasks.

• Examples: “do laundry (Mon/Thu),” “wash dinner dishes,” “clean room for 10 minutes”

• ⏰ Other Immediate Tasks

• Urgent work that was not planned.

• Examples: “visit bank and get documents issued,” “call OO about an urgent agenda item”

• 💧 Routine Repetitive Quests

• Very small habitual actions repeated often for physical and mental health. These quests are managed through the “habit tracking” feature described below.

• Examples: “drink a glass of water in the morning,” “take supplements”

⚙️ What are the core features?

• Integrated dashboard

• An integrated task list where all the tasks above can be seen at a glance.

• Example: 2 project tasks, 1 routine quest, and 3 habits for today are displayed in one list.)

• Time-based reminders

• A feature that wakes me up by telling me what I need to do today at a set time.

• Examples: notifications like “8 AM: review today’s plan,” “1 PM: start afternoon work”

• Performance visualization: visually shows the todo list completed each day so I can feel a sense of accomplishment.

• Example: at the end of the day, display a summary chart like “Today’s completed tasks: 5, achievement rate 80%”

• Habit tracking: records and tracks achievement so I can keep continuing “routine repetitive quests.”

• Example: check the weekly achievement status of the “drink water” habit as a graph

💬 If this system were a person?

It might feel like talking to a “personal trainer specializing in routines.”

Me: “I want an optimized routine!”

System (PT): “Sure. How about getting morning sunlight and going to the gym?”

Me: “Ah… exercise is a bit;;”

System (PT): “Understood. Then let’s replace the gym with ‘walk for 5 minutes after waking up.’”

(The next day)

System (PT): “You failed ‘walk for 5 minutes after waking up’ yesterday. Did you perhaps… sleep through it?”

Me: “Yes 😊”

System (PT): “…Pardon?”

Of course, instead of swearing, the system would give sharp encouragement, but the key role is to straighten out the lazy version of me through this kind of interaction.

🧭 Part 2. Goal Management Routine System: The Strategist That Turns My Dreams into Reality

But simply living hard day by day was not enough. If I do not know where the boat I am on is headed, I am merely drifting. This is where I felt the need for a “goal management routine system.”

This system goes beyond “what to do” and provides strategic guidance on “why and how” to set and achieve goals.

🤔 What will it use to help with goal setting?

For someone like me who has vague goals, it asks questions based on frameworks such as B=MAP (Behavior = Motivation + Ability + Prompt) and helps make those goals concrete. Through my answers, the system identifies the core elements needed to achieve the goal.

(Examples: “What is your biggest motivation for wanting to achieve that goal?” “What method would make executing the goal easiest?”)

📊 What is “metric management”?

It helps set “leading indicators” and “lagging indicators” so the goal-achievement process can be tracked objectively.

• Leading indicators

• Process metrics that can be managed and improved before results appear

• Examples: in app development, “weekly commit count,” “number of new feature prototypes completed”

• Lagging indicators

• Final performance metrics that appear as the result of actions

• Examples: “Monthly Active Users (MAU),” “final project completion date”

Thanks to these metrics, I can know how close I am getting to a goal based on data, not intuition.

💬 If this system were a person?

This feels like a conversation with a “goal-achievement consultant.”

Me: “I am going to build an app with 1,000 MAU within a year!”

System (Consultant): “That is an impressive goal! What kind of app will you build, and how?”

Me: “An app specialized for routine and goal management. With Flutter…”

System (Consultant): “I see. Then what ‘leading indicators’ should you manage in order to reach 1,000 MAU?”

Me: “That is what you should think of for me.”

System (Consultant): “…Pardon?”

Of course, instead of answering like that, the system would intelligently show the way by saying, “Good. Let’s find candidate leading indicators together…”

✨ Epilogue: The Synergy of the Two Systems

In conclusion, these two systems are structured to mesh perfectly with each other.

• The “goal management routine system” becomes a lighthouse for my journey, answering “where will I go?” with direction and strategy.

• The “todo management routine system” serves as the capable navigator responsible for “how will I spend today?” through execution and habits in order to reach that destination.

A virtuous cycle where strategy becomes execution, and execution becomes data for strategy again. I feel a little excited by the thought that I may be able to move forward steadily on top of a well-designed “personal growth system,” no longer relying only on instinct or willpower. Based on the concept I organized today, I should continue making this system more concrete.

🚀 Next Step: How Will I Make It Real?

The next step after making this system clearly concrete will, as expected, be developing it as a service or app. In that process, I plan to actively use the latest technologies to increase efficiency.

• Finalize the system and develop the service/app

• At this stage, I am thinking of using the combination of Gemini 2.5 Pro and Copilot. Gemini will serve as a “design partner” that helps concretize the overall structure and logic through conversation, while Copilot in VSCode will sit beside me when I write actual code and work as a “coding booster” to increase development speed.

• In other words, strategy and design: Gemini; implementation: Copilot.

• UI/UX design research

• For design research on effective UI/UX, I should mainly use Gemini 2.5 Pro and Figma. The approach would be to brainstorm abstract ideas with Gemini, such as “the screen structure where users can add goals most easily,” then use Figma to turn those ideas into visible prototypes.

• In addition, I should also concretize a plan to actively use Figma MCP servers that are already public. (MCP, or Model Context Protocol, is like a kind of “AI interpreter” or “standard specification” that allows AI models to understand data from external apps like Figma and interact with them directly. You can think of it as an API standard for AI.)

• If I connect this MCP server to my development environment, an AI like Gemini will be able to go beyond simply advising me about my ideas. It could directly read and understand the structure of my Figma file and handle requests like “turn this screen into code,” or process design automation tasks like “generate other design variations of this component.” In other words, it is a core technology that can make the whole process much smoother: from “AI ideas” to “Figma visualization,” and from “Figma design” back into “code.”

I should actively use these tools and begin in earnest the work of pulling the system in my head into reality.