Huna AI is built into Huneety at specific decision points to accelerate work you would otherwise do manually. This guide covers where Huna appears and how to use it well.
Where Huna appears
Framework generation
Paste a job description or role name and Huna generates competencies, skills, and behavioral anchors. You review each before saving. Cross-references with SFIA 9 and Korn Ferry Leadership Architect to keep output consistent with industry standards.
Competency mapping
When you add a new competency to your framework, Huna suggests skills that typically belong to it. Accept, reject, or edit each suggestion. Useful when extending an existing framework rather than starting from scratch.
Report insights
After a 360 assessment completes, Huna reads the full data and writes a short executive summary: top strengths, development priorities, and blind spots that matter. The participant reads a plain-English interpretation instead of a data dump. You can edit the summary before sharing.
IDP generation
When you start a development plan, Huna reads the assessment gaps and drafts 70/20/10 actions tied to the specific competencies that need work. Stretch assignments, coaching topics, and formal learning are all suggested. You and the manager adjust before approving.
How to use Huna well
Treat it as a draft, not a final answer
Every Huna output is a starting point. Review, edit, and publish in your voice. The best results come from reviewing the draft as a subject expert would, not accepting it blindly.
Give it specifics
Better input produces better output. Include role context, industry, and team size. Paste real job descriptions when generating frameworks. Vague inputs produce generic outputs.
Iterate
If the first output feels off, regenerate with different input. Adjust one variable at a time so you can see what moves the result.
What Huna doesn't do
- Replace manager judgment on who to promote or develop.
- Make performance or promotion decisions automatically.
- See data outside your workspace. Huna only works with data you provide.
Tips
- Huna is most useful at the start (framework generation) and end (report summaries). Middle steps don't need AI.
- If the output feels generic, give Huna more context. It can only work with what you share.
- Edit before sharing. Published output reflects your judgment, not the AI.