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Tradeoff Analysis

Community
Owl-Listener
tradeoff-analysis

Analyse accessibility tradeoffs when a design decision improves accessibility for one group but may affect another, or when accessibility competes with other requirements. Use when facing conflicting accessibility needs, business pressure to reduce accessibility scope, or technical constraints that limit accessibility options. Triggers on: tradeoff, trade-off, compromise, accessibility vs performance, accessibility vs deadline, conflicting needs, which users, who do we prioritise, can't do both, accessibility scope.

Overview

PublisherOwl-Listener
Repositoryinclusive-design-skills
Skill nametradeoff-analysis
Stars
108
Forks
28
Bundled files
Instructions only
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by Owl-Listener on GitHub. Read the source before you install it.

Installation

Install the Tradeoff Analysis 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/Owl-Listener/inclusive-design-skills/tree/main/accessibility-decisions/skills/tradeoff-analysis
  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/Owl-Listener/inclusive-design-skills.git /tmp/inclusive-design-skills
mkdir -p .claude/skills
cp -r /tmp/inclusive-design-skills/accessibility-decisions/skills/tradeoff-analysis .claude/skills/tradeoff-analysis
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Tradeoff Analysis 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 Tradeoff Analysis 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 Tradeoff Analysis 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.

Accessibility Tradeoff Analysis

Analyse accessibility tradeoffs rigorously — because "we can't do everything" is often true, and the quality of the tradeoff decision determines who gets included and who gets excluded.

When Tradeoffs Happen

Conflicting User Needs

  • Autoplay captions help deaf users but moving text distracts users with ADHD
  • Simplified language helps cognitive accessibility but may feel patronising to some users
  • High contrast helps low vision but can cause eye strain for some migraine conditions

Accessibility vs Other Requirements

  • Performance: rich accessibility features vs page load speed
  • Deadline: full accessibility vs shipping on time
  • Complexity: accessible custom component vs simpler but less accessible native element
  • Cost: comprehensive testing vs budget constraints

Partial Implementation

  • You can make 80% of the feature accessible now and 20% later
  • Which 80% do you choose and who does the 20% exclude?

Analysis Framework

For each tradeoff, work through:

1. Who Benefits from Option A?

  • Which user groups gain accessibility
  • How many users are affected (estimated)
  • How severe is the barrier if Option A is not chosen

2. Who Benefits from Option B?

  • Same analysis for the alternative

3. Who Is Harmed by Each Option?

  • Which user groups lose accessibility or experience degradation
  • How severe is the harm
  • Is the harm permanent or temporary (will it be fixed later?)

4. What's the Severity Asymmetry?

  • A user who CANNOT complete a task (blocked) is more severely affected than a user who finds a task HARDER (friction)
  • Prioritise removing blockers over reducing friction
  • Prioritise permanent disabilities over situational impairments (situational users have other options; permanent users may not)

5. What's the Reversibility?

  • Can this decision be changed later without significant cost?
  • If yes: choose the faster option and plan the improvement
  • If no: choose the more inclusive option and accept the delay

6. What's the Precedent?

  • Does this decision set a pattern for future features?
  • A shortcut taken once becomes a standard if not documented
  • If it sets a bad precedent, the long-term cost exceeds the short-term saving

Tradeoff Documentation

Every tradeoff must be recorded using the decision-documentation format with these additional fields:

Who is excluded by this decision: Name the specific user groups affected.

Severity of exclusion: Blocked (cannot complete task) vs friction (harder but possible).

Remediation plan: When and how will the excluded users be served. "Screen reader support for the chart component is deferred to sprint 14. Workaround: data table below the chart provides the same information. Tracked in JIRA-4521."

Review date: When will this tradeoff be reassessed.

Red Lines

Some tradeoffs should never be made:

  • Never ship a feature that is completely inaccessible by keyboard
  • Never remove existing accessibility to meet a deadline
  • Never deprioritise accessibility fixes that block task completion
  • Never treat "we'll fix it later" as acceptable without a tracked ticket and a deadline

Assessment Questions

  1. Have both sides of the tradeoff been analysed for who benefits and who is harmed?
  2. Is severity asymmetry considered (blocked vs friction)?
  3. Is there a documented remediation plan for excluded users?
  4. Has a review date been set?
  5. Does this decision set a precedent that needs to be managed?

Frequently asked questions

What does the Tradeoff Analysis AI skill do?

Analyse accessibility tradeoffs when a design decision improves accessibility for one group but may affect another, or when accessibility competes with other requirements. Use when facing conflicting accessibility needs, business pressure to reduce accessibility scope, or technical constraints that limit accessibility options. Triggers on: tradeoff, trade-off, compromise, accessibility vs performance, accessibility vs deadline, conflicting needs, which users, who do we prioritise, can't do both, accessibility scope.

Why use Tradeoff Analysis on TypingMind?

Because you install it once and use it with any model. Tradeoff Analysis 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 Tradeoff Analysis in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Owl-Listener/inclusive-design-skills/tree/main/accessibility-decisions/skills/tradeoff-analysis. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Tradeoff Analysis?

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 Tradeoff Analysis?

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

Is the Tradeoff Analysis AI skill free?

Yes. It is published on GitHub by Owl-Listener 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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