Everleap Administration
Manage industries, sciences, human characteristics, goals, and questions.
Welcome to Everleap Admin
Configure the building blocks that power Everleap’s guidance engine. Everything here feeds the algorithm that turns conversations → answers → mapped signals → recommendations, and then adapts the tone & UI to each user.
How it works (at a glance)
- Users answer questions.
- Each answer emits signals by mapping to Industries, Sciences, Human Characteristics, and Goals.
- We score & combine those signals to rank recommendations.
- Dominant signals also select a conversational tone and UI emphasis.
⬅︎ Start by choosing a section from the left navigation.
Questions, Industries, Sciences, Human Characteristics, and Goals are just a click away.
Tip: version 0 is live; any other number is staging/in-progress. Archive items to hide without deleting history.
Questions
Create, edit, and organize questions. Configure multiple-choice options or slider scales, then map answers to Industries, Sciences, Human Characteristics, and Goals. Use versioning to stage safely; archive to hide without losing history.
Industries
Define the audience segments we target (e.g., High School Students, Parents/Guardians, Counselors). Industry signals help scope language, examples, and which recommendations rise to the top.
Sciences
Evidence-based frameworks (e.g., Ikigai, Enneagram, What Color Is Your Parachute?) that validate how answers lead to recommendations. Mapping answers here keeps guidance defensible and consistent.
Human Characteristics
Everleap’s cognitive/behavioral traits used to personalize tone, UI emphasis, and the kinds of recommendations that feel most actionable for each user.
Goals
Concrete outcomes users care about. Mapping answers to Goals prioritizes recommendations that move users toward what they want.
Tips
- Version 0 = live; other versions are drafts/in-progress.
- Use Archive to hide while preserving mappings and analytics.
- For sliders, set Minimum, Maximum, and Step via Configure Scale.
- Answer mappings carry weights (signals) that influence recommendation ranking and conversational tone.
- Reordering multiple-choice options changes presentation only; it doesn’t change scoring.