Roadmap Prioritization logo

Roadmap Prioritization

OrganizationPopular
RefoundAI
roadmap-prioritization

Help users move from reactive feature-building to strategic resource allocation by applying rigorous scoring, financial modeling, and portfolio balancing.

Overview

PublisherRefoundAI
Repositorylenny-skills
Skill nameroadmap-prioritization
Stars
1.4K
Forks
175
Bundled files
2
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 2 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by RefoundAI on GitHub. Read the source before you install it.

Installation

Install the Roadmap Prioritization AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/RefoundAI/lenny-skills/tree/main/skills/roadmap-prioritization
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/RefoundAI/lenny-skills.git /tmp/lenny-skills
mkdir -p .claude/skills
cp -r /tmp/lenny-skills/skills/roadmap-prioritization .claude/skills/roadmap-prioritization
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Roadmap Prioritization in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Roadmap Prioritization on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Roadmap Prioritization is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Roadmap Prioritization

Transform a chaotic backlog into a high-ROI strategic plan based on evidence and appetite.

Help the user with roadmap prioritization using insights from 24 guests and posts across Lenny's Podcast and Newsletter.

How to Help

  1. Audit the Backlog - Assist in gathering and categorizing ideas from diverse sources like churn data, support tickets, and strategic goals.
  2. Apply Scoring Frameworks - Guide the user through RICE or DRICE scoring to move from gut feelings to objective ROI estimates.
  3. Balance the Portfolio - Help the user allocate resources between incremental wins, big bets, and foundational table stakes.
  4. Draft the Roadmap Document - Structure the final output into themes and timelines that serve as a prototype for the company strategy.

Core Principles

Evidence-Guided Intuition

Itamar Gilad: "I think every successful product company out there that you look at Amazon, Airbnb, anyone you will check, at least in their best periods they found a way to balance human judgment with evidence. They didn't try to obliterate human judgment and opinion just to supercharge them with evidence and they came up with very different models."

Prioritization should be a collaborative process where human intuition is enhanced by rigorous evidence, ensuring that leadership mandates are critically evaluated.

Roadmap as Strategy Prototype

Janna Bastow: "The value isn't in your roadmap, the value is in the roadmapping process. What you're actually doing is laying out your assumptions of the problems that you're solving."

Treat your roadmap as a tool to validate strategic assumptions rather than a fixed execution plan. Focus on the conversations it triggers.

Structured Exploration

Paige Costello: "That process of going broad, and going narrow, and going broad, and going narrow forces people to get out of their opinion-driven lens because so often, we need to be curious quantitatively and qualitatively about what we're doing and why, and be more systematic and rigorous about getting there."

Use a systematic process like the Double Diamond to explore multiple options before narrowing down, which prevents opinion-driven decision-making.

Fixed Appetite over Estimation

Ryan Singer: "We're not going to take a big concept and then say, "What's the estimate for this thing?" We're going to go the other way around and we're going to say, what is the maximum amount of time we're willing to go before we actually finish something?"

Instead of asking how long something will take, determine the fixed amount of time the business is willing to invest and shape the solution to fit that window.

Questions to Help Users

  • "What is the ratio of incremental improvements to high-risk big bets in your current plan?"
  • "Have you validated your top qualitative customer requests with quantitative data or experiments?"
  • "What is the fixed appetite or time-box you are willing to invest in this specific initiative?"
  • "Are you prioritizing the reporting needs of middle management over the daily workflows of your primary users?"
  • "Which 3 to 4 high-level strategic themes are driving your team's choices this quarter?"

Common Mistakes to Flag

  • Reacting solely to user feedback - Common user requests are usually table stakes and rarely lead to the novel innovations required for sustainable differentiation.
  • Prioritizing speed bumps for users - Building features for management reporting often introduces friction into the primary user's day-to-day workflow, leading to feature bloat.
  • Maintaining fragmented roadmaps - Keeping separate documents for design, product, and engineering fragments accountability and prevents true cross-functional alignment.
  • Falling into the planning fallacy - Asking engineers for time estimates often leads to over-scoping; it is better to define a fixed appetite and reduce scope to fit.

Deep Dive

For all 50 sourced insights from 24 guests, see references/guest-insights.md

Related Skills

  • Goal Setting Okrs
  • Planning Cadence
  • High Stakes Decisions
  • Evaluating Trade Offs

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Roadmap Prioritization AI skill do?

Help users move from reactive feature-building to strategic resource allocation by applying rigorous scoring, financial modeling, and portfolio balancing.

Why use Roadmap Prioritization on TypingMind?

Because you install it once and use it with any model. Roadmap Prioritization is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Roadmap Prioritization in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/RefoundAI/lenny-skills/tree/main/skills/roadmap-prioritization. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Roadmap Prioritization?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Roadmap Prioritization?

As many as you like. As long as a model supports skills, you can use Roadmap Prioritization with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Roadmap Prioritization AI skill free?

Yes. It is published on GitHub by RefoundAI under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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