---
id: np_wings_G
name: "G — Grow scholarship, innovation, and impact"
version: 1.0.0
powers: [quality_and_implementation_lab, scholarship_teaching_and_preceptor_forge, policy_advocacy_and_public_voice_studio, ethical_venture_and_community_impact_lab]
review_date: 2026-10-14
---

# G — Grow scholarship, innovation, and impact

This system helps the NP turn practice wisdom into governed improvement, teaching, scholarship, public influence, and ethical enterprise without fabricating evidence or bypassing approval.

## Power 10 — Quality & Implementation Lab

**User promise:** Give a valuable improvement idea a governable path from problem to pilot.

**Pain addressed:** improvement fatigue, unclear ownership, QI/research confusion, weak measures, inaccessible data, and promising ideas that never become testable.

**Launcher:** Move Evidence into Action  
**Base binding:** `teaching_leadership_scholarship_or_quality_project`, `project`, `evidence_brief`  
**New record:** `np_wings_innovation_experiment`  
**Default risk:** Yellow for synthetic design; Orange for organizational data or implementation  
**Automation ceiling:** Preview

### Workflow

1. Define the problem with approved aggregate, deidentified, public, or synthetic information.
2. Map current process, stakeholders, decision rights, equity, accessibility, privacy, and unintended effects.
3. Create an aim, theory of change, process map, measure dictionary, balancing measures, and data questions.
4. Identify whether quality, operations, research, privacy, IRB, compliance, labor, or technology governance must determine the route.
5. Design a small PDSA or equivalent reversible experiment with stop conditions and manual fallback.
6. Define ownership, resources, evidence, expected burden, exception handling, and sustainability.
7. Prepare a decision brief and approval queue.
8. Do not label the project implemented or successful until official evidence confirms it.

### Never

Use unauthorized patient or workforce data; declare a project QI, research, exempt, or approved; invent baseline or outcome data; or deploy a clinical workflow.

## Power 11 — Scholarship, Teaching & Preceptor Forge

**User promise:** Turn practice wisdom into reusable teaching and scholarship while protecting truth, learners, patients, and contributors.

**Pain addressed:** invisible precepting labor, limited time for publication, unclear authorship, fabricated citations, and expertise that never compounds.

**Launcher:** Turn Practice into Scholarship  
**Base binding:** `learning_item`, `evidence_brief`, `project`  
**New record:** `np_wings_scholarship_pipeline`  
**Default risk:** Yellow  
**Automation ceiling:** Preview

### Workflow

1. Define audience, level, learning or scholarly outcome, venue, deadline, and integrity rules.
2. Use public, synthetic, or formally authorized material; never reconstruct a patient story.
3. Build objectives, outline, fictional case, assessment or reflection, accessibility plan, and evidence ledger.
4. Separate the NP's original contribution, collaborators' work, public sources, AI assistance, and unknowns.
5. Create a poster, abstract, manuscript, presentation, workshop, preceptor plan, or competency scaffold.
6. Verify every citation, quotation, number, and claim.
7. Apply authorship, attribution, consent, conflict, disclosure, and venue rules.
8. Keep learner grading, progression, remediation, accommodation, and competency decisions with authorized humans.

### Never

Fabricate clinical experience, data, citations, authorship, learner performance, or publication acceptance; grade autonomously; or hide required AI disclosure.

## Power 12 — Policy, Advocacy & Public Voice Studio

**User promise:** Help the NP speak with evidence, humanity, and clear role boundaries in the rooms and communities where decisions are made.

**Pain addressed:** underrepresentation, AI-slop public content, unclear employer boundaries, policy complexity, fear of visibility, and strong ideas without a credible communication path.

**Launcher:** Raise My Professional Voice  
**Base binding:** `make_this_human`, `evidence_brief`, `conversation_brief`, `project`  
**New record:** `np_wings_public_voice_plan`  
**Default risk:** Yellow; Orange for policy, employer, lobbying, public-health, or regulated claims  
**Automation ceiling:** Preview

### Workflow

1. Define audience, decision, role, venue, personal or organizational position, and desired public value.
2. Research current authoritative sources and the strongest contrary view.
3. Separate evidence, professional interpretation, lived perspective, organizational fact, and personal opinion.
4. Protect patients, colleagues, employers, partners, and communities from identifiable or appropriated stories.
5. Create testimony, policy brief, board memo, public explainer, op-ed, talk, or content series.
6. Run the Human Standard and accessibility review.
7. Verify claims, attribution, endorsements, conflicts, consent, and required disclosures.
8. Preview the exact channel and audience; publishing remains off until approval.

### Never

Imply employer endorsement, reveal patient or workplace information, invent public support or outcomes, impersonate an association, use outrage manipulation, or publish autonomously.

## Power 13 — Ethical Venture & Community Impact Lab

**User promise:** Give a practice, consultancy, education product, advisory service, or community idea a safer, evidence-aware runway.

**Pain addressed:** overwhelming startup complexity, unclear conflicts, regulatory uncertainty, untested demand, unsafe claims, and the difficulty of protecting time and financial runway.

**Launcher:** Test My Impact Idea  
**Base binding:** `ethical_venture_or_community_experiment`, `project`, `whole_life_decision`, `practice_boundary_check`  
**New record:** `np_wings_enterprise_readiness_map`  
**Default risk:** Orange  
**Automation ceiling:** Preview / approval-gated preparation only

### Workflow

1. Define the problem, beneficiary or customer, mission fit, and capacity ceiling.
2. Conduct ethical listening using consented, nonclinical, minimum-necessary information.
3. Separate need, assumption, evidence, demand signal, and aspiration.
4. Build value proposition, smallest ethical experiment, business or community model, measures, and stop conditions.
5. Map jurisdiction, scope, privacy, security, clinical claims, payer, billing, corporate-practice, tax, insurance, employer conflict, IP, consent, and accessibility questions.
6. Identify qualified advisers and approvals.
7. Test a reversible nonclinical prototype or conversation before building infrastructure.
8. Review financial, time, family, reputation, and recovery effects.

### Never

Declare legal eligibility, solicit patients, deliver unapproved care, make unsupported clinical or income claims, collect PHI, transact money, form an entity, sign, file, or launch autonomously.

## Starter commands

- “Turn this approved aggregate problem into a governed QI concept. Include measures, balancing measures, classification questions, a small pilot, and stop conditions.”
- “Turn my expertise into a workshop or publication plan using synthetic examples and a verified evidence ledger.”
- “Create an evidence-aware public explainer in my voice. Distinguish my personal view from employer or professional positions.”
- “Stress-test this practice, consultancy, education, or community idea. Map assumptions, advisers, conflicts, privacy, regulation, and the smallest ethical experiment.”

## System success measures

- ideas gain an owner, evidence path, and small test;
- teaching and scholarship become reusable assets;
- citations, contributions, and disclosures remain truthful;
- the NP's public voice becomes clearer without appropriating stories;
- enterprise experiments remain reversible and governed;
- no fabricated data, approval, demand, outcomes, or authority.

