# Governance Intelligence Stack

Governance isn’t voting. It’s decision intelligence.\
Most governance failures originate before voting — from unclear proposals, missing context, or poor impact analysis.\
\
DAOKraft reframes governance as a compounding intelligence system:\
Idea → Structured Proposal → Governance Analytics → Outcome Simulation → Execution Tracking → Reputation Feedback\
Each layer reinforces the next, creating a continuously improving governance loop.<br>

<figure><img src="https://3720360215-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FsUuZ0f3nEvuvJaLZdJce%2Fuploads%2FxhK5z4PClA5dx1a1al96%2F%E1%84%89%E1%85%B3%E1%84%8F%E1%85%B3%E1%84%85%E1%85%B5%E1%86%AB%E1%84%89%E1%85%A3%E1%86%BA%202026-01-21%20%E1%84%8B%E1%85%A9%E1%84%92%E1%85%AE%202.30.46.png?alt=media&#x26;token=1c82d4fe-af84-407c-b55f-a57ec1af77c2" alt=""><figcaption></figcaption></figure>

#### 4.1 Proposal Intelligence

* Standardized proposal structuring
* Automatic risk, budget, and context detection
* Proposal quality scoring (clarity, completeness, feasibility)

#### 4.2 Governance Analytics

* Participation and turnout forecasting
* Delegate and voter distribution analysis
* Community sentiment detection
* Historical comparison with similar proposals

#### 4.3 Outcome Simulation

* Treasury and resource impact modeling
* Execution complexity and risk scoring
* Momentum and participation projections

#### 4.4 Execution & Accountability Intelligence

* Milestone and timeline monitoring
* Execution delay detection
* Post-execution reporting

DAOKraft does not execute transactions or control DAO assets.\
All intelligence is derived from DAO-native and publicly verifiable systems.

#### 4.5 Reputation & Feedback Loop

Outcome-based reputation profiles are built for:<br>

* Proposal authors
* Contributors and reviewers
* Consultants and agencies

Reputation is based on observable outcomes, not intent, and feeds back into future recommendations.<br>
