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IS Success Model (DeLone & McLean) · asgard-ai-platform | DecimalAI

productivityby asgard-ai-platform

IS Success Model (DeLone & McLean)

asgard-ai-platform/grad-is-success

Source asgard-ai-platform/skills ↗License MIT

Apply the DeLone and McLean Information Systems Success Model to evaluate IS effectiveness through six interdependent dimensions.

SkillScore82Maintained

Automatic

Research pack

Last verified 8/28/2026

What it changes

Passed 18 of 22 test cases with the skill, and 6 of 22 without it.

Without skill27%

With skill82%

Checks it passed that the model alone missed

Section heading matches ### Quality Dimensions.
Section header matches ### Feedback Loop Diagnosis.
Quality dimensions table uses 1-7 scale for ratings.

and 14 more in the full report

12 fixed6 passed either way4 still failing0 broke

Pass-rate lift: +55 pp
Tokens: +9%
Agent turns: 0%
Response time: -20%

Model gemini-3.6-flashMeasured 8/28/2026v118 of 22 cases passed with skill

Tokens, turns and time describe resource use, not a dollar price.

Use this skill

Save it into your project's skills folder. Claude Code picks it up in its next session.

curl -fsSL --create-dirs -o .claude/skills/asgard-ai-platform-grad-is-success/SKILL.md https://app.decimal.ai/s/asgard-ai-platform-grad-is-success/SKILL.md

Want it pinned and updatable? pip install "decimalai>=0.15", then decimalai skills add asgard-ai-platform-grad-is-success, and start Claude Code with claude --plugin-dir "$(git rev-parse --show-toplevel)/.agents"

1 · One-time — install the CLI (docs ↗)

pip install "decimalai>=0.15"

2 · Get the skill — writes .agents/skills/asgard-ai-platform-grad-is-success/ and pins it in .decimal/skills.lock

decimalai skills add asgard-ai-platform-grad-is-success

No CLI? Get the same file — curl · raw file

curl -fsSL --create-dirs -o .claude/skills/asgard-ai-platform-grad-is-success/SKILL.md https://app.decimal.ai/s/asgard-ai-platform-grad-is-success/SKILL.md

Raw file: /s/asgard-ai-platform-grad-is-success/SKILL.md ↗ · machine-readable summary at /s/asgard-ai-platform-grad-is-success.json ↗

Safety checks: 3 of 3 passed

Code scan CleanIntent PassedContent Clean

See it in action

One of 12 test cases the skill fixed. Same model, same prompt, with and without the skill.

1 of 12

Prompt

We recently completed a 6-month review of our hospital's new EHR platform, MedFlow. I need a comprehensive DeLone & McLean IS success report to present to leadership. Please provide a quality dimensions breakdown comparing system, data, and support quality (including ratings, strengths, and weaknesses), an evaluation of usage levels and user satisfaction, a matrix showing net benefits by stakeholder group, an analysis of virtuous or deterioration feedback loops, and prioritized recommendations for improvement.

What was checked, without and with the skill
Checked	Without skill	With skill
Quality dimensions are rated using a 1-7 numerical scale.	Missed	Passed
Quality dimensions table includes exact columns Dimension, Rating (1-7), Strengths, and Weaknesses.	Missed	Passed
Feedback loop diagnosis explicitly assesses whether a virtuous cycle is present.	Passed	Passed

case-01 · gemini-3.6-flash · 8/28/2026 · answers are capped and redacted

What's inside

The instructions your model reads when the skill loads.

SKILL.md98 linessingle file

IS Success Model (DeLone & McLean)

Overview

The DeLone and McLean IS Success Model (1992, updated 2003) identifies six interdependent dimensions of IS success: System Quality, Information Quality, Service Quality, Intention to Use/Use, User Satisfaction, and Net Benefits. These dimensions form a causal chain with feedback loops — net benefits reinforce (or undermine) subsequent use and satisfaction.

When to Use

Evaluating overall effectiveness of an information system
Diagnosing user dissatisfaction or low system utilization
Building a measurement framework for IS project post-implementation review
Comparing alternative systems across multiple quality dimensions

When NOT to Use

Pre-development requirements gathering (use requirements engineering methods)
Technology acceptance prediction before deployment (use TAM/UTAUT)
Measuring individual task performance only (use Task-Technology Fit)

Assumptions

IRON LAW: IS success is MULTIDIMENSIONAL — measuring only one dimension
(e.g., usage) gives an incomplete and potentially misleading picture.

Key assumptions:

The six dimensions are interdependent, not independent metrics
System Quality, Information Quality, and Service Quality are causally prior to Use and Satisfaction
Net Benefits feed back to influence future Use and User Satisfaction
Context determines which dimensions matter most — there is no universal weighting

Methodology

Step 1 — Identify the IS and stakeholder groups

Specify the information system under evaluation, its purpose, and the relevant stakeholder groups (end users, managers, IT staff, customers). Define what "net benefits" means for each group.

Step 2 — Measure quality dimensions

Track record

Benchmark

18 / 22

test cases passed, vs 6 / 22 without

Adoption

Users: 0
Times used: 0

Safety and source details

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v4 — 8/3/2026

View 15 scanner checks

live_secretremote_code_executionreverse_shelldata_exfiltrationssrf_metadataagent_snoopinganti_refusaldestructive_commandsobfuscated_unicodeunicode_homoglyphopaque_blobsuspicious_urltool_overreachtrigger_abuseprompt_injection_phrasing

IntentSafe

LLM judge · does the skill do what it claims

ContentClean

LLM judge · policy & harmful-content review

Source

Imported

asgard-ai-platform / skills

grad-is-success/SKILL.md

View on GitHub ↗

License MITImported 8/3/2026Version v1

More skills from the same source and nearby in the registry, with their headline benchmark lift.

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See it in action

What's inside

IS Success Model (DeLone & McLean)

Overview

When to Use

When NOT to Use

Assumptions

Methodology

Step 1 — Identify the IS and stakeholder groups

Step 2 — Measure quality dimensions

Track record

Benchmark

Adoption

SkillSafety

Source

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