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Game Design Social Satisfaction Matrix

by Stanislav Stankovic · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
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/install game-design-social-satisfaction-matrix
Description
Evaluate a game's social features and multiplayer elements by their potential to create social satisfaction versus social dissatisfaction. Use when auditing...
README (SKILL.md)

Game Design Social Satisfaction Matrix

Use the Social Satisfaction Matrix to classify social elements by how much they can increase social satisfaction, how much they can create social dissatisfaction, and what that implies for design priority.

This skill is especially useful when a team knows a feature is "social" but does not yet understand whether it is an expected basic, a risky high-impact critical element, a nice booster, or mostly secondary.

Core principle

Not all social features matter in the same way.

Some social elements are basic expectations that rarely delight but cause frustration when missing. Some are high-risk, high-value systems that can either deepen connection or amplify harm. Some are nice boosters. Some barely move the needle. The point of the matrix is to stop treating all social features as equally important or equally dangerous.

The matrix

Classify elements into four categories:

Basic

Must-do elements.

  • low potential to create delight
  • high potential to create dissatisfaction if missing or weak
  • expected foundations of the social experience

Typical examples:

  • friend list
  • stable party formation
  • baseline group management
  • basic reporting access

Critical

Make-or-break elements.

  • high potential to create satisfaction
  • high potential to create dissatisfaction
  • socially valuable but risky if handled poorly

Typical examples:

  • voice chat
  • open text chat
  • matchmaking surfaces that strongly affect teammate quality
  • live team communication systems
  • public social reputation surfaces

Booster

Could-do elements that add satisfaction.

  • can make the experience nicer, warmer, or more memorable
  • low downside if absent
  • usually not necessary for functional play

Typical examples:

  • lightweight gifting
  • celebratory emotes
  • temporary cosmetic sharing
  • playful social acknowledgements

Secondary

Low-impact elements.

  • low potential to create strong satisfaction
  • low potential to create strong dissatisfaction
  • may matter for niche segments, but not majorly for the overall social experience

Typical examples depend heavily on audience and context. Something secondary for one game or segment may be critical for another.

What to produce

Generate:

  1. Audit target - what game, mode, or set of social elements is being reviewed
  2. Element map - where each chosen element sits in the matrix
  3. Rationale - why each element belongs there
  4. Risk and opportunity view - what the matrix reveals about the current social landscape
  5. Improvement priorities - what to fix, protect, redesign, add, or deprioritize
  6. Sweet-spot judgment - where the design should aim to increase satisfaction without creating disproportionate social risk

Process

1. Define the social scope

Clarify:

  • what game, feature set, or mode is being audited
  • which social elements are in scope
  • what audience or segment matters most
  • whether the team cares more about retention, safety, delight, community health, matchmaking quality, or social stickiness

Write:

  • Target
  • Audience context
  • Business/design concern

2. Choose the elements to map

Pick one or more social elements.

Good candidates include:

  • game mechanics with social consequences
  • chat and voice systems
  • nonverbal communication systems
  • friend, guild, or party tools
  • shared activities
  • reporting and moderation surfaces
  • profile and identity surfaces
  • social hubs or hangout spaces
  • gifting, acknowledgements, and reciprocal mechanics
  • goal-setting systems that require or encourage social participation

3. Assess satisfaction potential

For each element, ask:

  • can this create positive social moments?
  • does it help players bond, coordinate, celebrate, contribute, or belong?
  • does it increase trust, recognition, or meaningful cooperation?
  • does it align selfish goals with prosocial outcomes?
  • can it make the game feel warmer, stickier, or more socially rewarding?

Possible satisfaction sources:

  • prosocial action
  • bonding and familiarity
  • positive recognition
  • meaningful contribution
  • active participation
  • shared accomplishment
  • belonging and group identity
  • balanced interdependence

4. Assess dissatisfaction potential

For each element, ask:

  • can this facilitate harassment, griefing, or cheating?
  • does it depend on trust that may not exist?
  • can it create conflicting goals or blame?
  • does it require hidden knowledge or high skill from everyone?
  • can it leave weaker players exposed or unsupported?
  • are expectations unclear?
  • does it create open affordances with weak guardrails?

Possible dissatisfaction sources:

  • disruptive behavior
  • trust dependency
  • incompatible goals
  • knowledge dependency
  • skill dependency
  • task interdependence under pressure
  • weak social support
  • unclear expectations
  • abuseable communication affordances

5. Place each element in the matrix

Now classify each element:

  • Basic
  • Critical
  • Booster
  • Secondary

Do not classify by gut feel alone. Tie the placement to its satisfaction and dissatisfaction potential.

Also note if an element is:

  • misclassified by the team today
  • segment-dependent
  • healthy in concept but badly implemented

6. Compare the overall landscape

Step back and ask:

  • is the game overinvested in risky critical systems with weak guardrails?
  • is it missing basic foundations?
  • is it trying to add boosters before basics work?
  • are supposedly secondary features actually critical for the target segment?
  • is the social experience too functional and dry, with no boosters?
  • are there obvious opportunities to move a feature toward the sweet spot?

7. Aim for the sweet spot

The ideal is not zero risk.

The sweet spot is where a social element creates significant satisfaction while keeping dissatisfaction risk manageable through good design, guardrails, and support systems.

Typical improvement strategies:

  • Add a feature to increase positive social value
  • Change a feature to reduce downside or improve readability
  • Bundle features so multiple small supports increase aggregate satisfaction
  • Create a feature system so elements reinforce one another instead of standing alone

8. Convert the matrix into action

For each priority element, specify:

  • Current category
  • Why it matters
  • Main social upside
  • Main social downside
  • Design change
  • Expected effect

Response structure

Target

  • ...

Matrix Map

Element Category Satisfaction Potential Dissatisfaction Potential Why It Sits Here
... ... ... ... ...

Landscape Read

  • ...

Priority Risks

  1. ...
  2. ...
  3. ...

Best Opportunities

  1. ...
  2. ...
  3. ...

Sweet-Spot Recommendations

  1. ...
  2. ...
  3. ...

Fast mode

Use this quick pass when speed matters:

  • which social elements are basic expectations?
  • which are critical and risky?
  • which are nice boosters?
  • which barely matter?
  • where is the game under-protected, overexposed, or missing easy social upside?

Working principle

A socially sticky game is not built by piling on social features. It is built by understanding which social elements are foundational, which are dangerous but powerful, which are delightful extras, and which are mostly noise.

Usage Guidance
This skill is instruction-only and internally coherent for doing social-feature audits. Before installing, consider: (1) it will generate recommendations but is not a substitute for domain experts—validate safety/moderation suggestions with your team; (2) avoid pasting sensitive production data (user IDs, chat logs, credentials) into prompts when using the skill; (3) standard review practices apply—ask for examples of past audits or a sample output to ensure its recommendations match your needs.
Capability Analysis
Type: OpenClaw Skill Name: game-design-social-satisfaction-matrix Version: 1.0.0 The skill bundle contains a framework for analyzing game social features using a 'Social Satisfaction Matrix'. The SKILL.md file provides purely conceptual instructions for an AI agent to evaluate game design elements (e.g., chat, matchmaking, gifting) and lacks any executable code, network requests, or instructions that could lead to data exfiltration or system compromise.
Capability Assessment
Purpose & Capability
The name and description match the SKILL.md: the skill is a guidance/template for auditing social features. It requires no binaries, env vars, or external services—no unexplained capabilities are requested.
Instruction Scope
SKILL.md contains step-by-step audit guidance and a clear output format (audit target, element map, rationale, risks, priorities). It does not instruct the agent to read local files, call external endpoints, or access credentials.
Install Mechanism
No install specification or code files are present. Being instruction-only means nothing is written to disk or downloaded during install.
Credentials
The skill requests no environment variables, credentials, or config paths. There is no disproportionate access requested for the stated design-audit purpose.
Persistence & Privilege
always is false and autonomous invocation is allowed only by default platform behavior. The skill does not request persistent system presence or modification of other skills/config.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install game-design-social-satisfaction-matrix
  3. After installation, invoke the skill by name or use /game-design-social-satisfaction-matrix
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release. Classifies social features by satisfaction upside, dissatisfaction risk, and priority for improvement.
Metadata
Slug game-design-social-satisfaction-matrix
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Game Design Social Satisfaction Matrix?

Evaluate a game's social features and multiplayer elements by their potential to create social satisfaction versus social dissatisfaction. Use when auditing... It is an AI Agent Skill for Claude Code / OpenClaw, with 51 downloads so far.

How do I install Game Design Social Satisfaction Matrix?

Run "/install game-design-social-satisfaction-matrix" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Game Design Social Satisfaction Matrix free?

Yes, Game Design Social Satisfaction Matrix is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Game Design Social Satisfaction Matrix support?

Game Design Social Satisfaction Matrix is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Game Design Social Satisfaction Matrix?

It is built and maintained by Stanislav Stankovic (@stanestane); the current version is v1.0.0.

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