> ## Documentation Index
> Fetch the complete documentation index at: https://docs.highailabs.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Target audience

> Who we serve — user personas, psychographics, and the people behind our product decisions.

## Who we serve

Intelligent, skeptical cannabis consumers who want data-driven decisions, not marketing hype. People who value precision, privacy, and science over folklore and social validation.

Our users have tried other cannabis apps and found them lacking — too social, too shallow, too ad-driven. They want a tool that respects their intelligence and their data. They are not looking for a community; they are looking for a system that works.

## Psychographic profile

| Trait             | Description                                                      |
| ----------------- | ---------------------------------------------------------------- |
| Data-curious      | Want to understand their consumption patterns, not just log them |
| Privacy-conscious | Will not trade personal data for convenience or social features  |
| Science-trusting  | Prefer verified terpene data and research over anecdotal reviews |
| Quality-focused   | Value precision and repeatability in their cannabis experience   |
| Tech-comfortable  | Expect modern, fast, well-designed apps with no learning curve   |

## User personas

High IQ serves five distinct user personas. Each follows the same core lifecycle but takes different paths, prioritizes different features, and measures value differently.

<AccordionGroup>
  <Accordion title="The Casual Consumer">
    **Profile:** Uses cannabis recreationally one to three times per week. Wants to remember what they liked without too much effort. Values simplicity above depth.

    **What they care about:**

    * Remembering which strains they enjoyed and where they bought them
    * Quick, low-effort data entry — photo uploads over manual forms
    * Simple browsing for new strain ideas before a dispensary visit
    * Not being overwhelmed by features they do not need

    The Casual Consumer uses two or three features regularly (Stash, Favorites, Strain Browse) and rarely explores deeper analytics. They are the highest churn risk if the app ever feels like work. Their conversion driver is the simple value proposition: "remember what you liked."
  </Accordion>

  <Accordion title="The Connoisseur">
    **Profile:** Passionate about cannabis strains, terpene profiles, and genetics. Wants deep knowledge about everything they consume. Builds collections, ranks strains obsessively, and submits undiscovered strains to the research pipeline.

    **What they care about:**

    * Terpene data depth and accuracy across strain profiles
    * Label scanning for every purchase to capture detailed chemical data
    * Comprehensive personal rankings via the ELO system
    * AI-powered analysis of terpene synergies and strain comparisons
    * Building and curating a complete strain collection

    The Connoisseur is the power user — high data entry tolerance, deep feature exploration, and the most likely to become a paying subscriber. Their churn risk trigger is the database missing their favorite strains.
  </Accordion>

  <Accordion title="The Health-Conscious">
    **Profile:** Uses cannabis for specific wellness goals — sleep, anxiety, pain relief, recovery. Wants to understand how different strains affect their body and track patterns over time.

    **What they care about:**

    * Effect tracking and consumption pattern analysis
    * Understanding which High Families align with their wellness goals
    * Stats that reveal correlations between strains and outcomes
    * AI recommendations based on their personal health-oriented usage
    * Future Health Sync integration (Apple Health, Oura)

    The Health-Conscious user tracks what matters for their wellness and relies heavily on analytics features. Their conversion driver is pattern discovery — moments like realizing "indicas with high myrcene consistently improve my sleep."
  </Accordion>

  <Accordion title="The Budget Optimizer">
    **Profile:** Tracks spending closely, compares dispensary prices, and wants to optimize their cannabis budget. Logs every purchase with price data and monitors month-over-month trends.

    **What they care about:**

    * Complete spending analytics with dispensary-level breakdowns
    * Gmail sync to automatically import purchase history
    * Shopping Agent for finding deals and comparing menus
    * Cost optimization insights and restock predictions
    * Dispensary comparison across price, selection, and value

    The Budget Optimizer has high data entry tolerance because the financial insights justify the effort. Their churn risk trigger is inaccurate or incomplete spending data. Every receipt matters.
  </Accordion>

  <Accordion title="The Data Nerd">
    **Profile:** Loves data, analytics, achievements, and gamification. Wants to unlock everything, understand every pattern, and push every metric. Uses every feature extensively.

    **What they care about:**

    * Achievement hunting — unlocking badges across all rarity levels
    * Stats obsession — checking analytics cards, consumption velocity, and trends
    * Daily Stories streak maintenance and notebook generation
    * Complete ranking sessions and identity title progression
    * Maximum feature breadth — if a feature exists, they will find and use it

    The Data Nerd is the lowest churn risk and the most engaged user. They have very high data entry tolerance because they enjoy the process itself. Their conversion driver is the achievement system, level progression, and identity titles. Their only churn risk is running out of achievements to earn.
  </Accordion>
</AccordionGroup>

For detailed user journey maps, feature usage by persona, and persona comparison matrices, see [User personas](/help/user-flows/personas).

## Persona comparison

| Dimension                 | Casual   | Connoisseur | Health-Conscious | Budget Optimizer | Data Nerd          |
| ------------------------- | -------- | ----------- | ---------------- | ---------------- | ------------------ |
| Engagement frequency      | Weekly   | Daily       | 3-4x/week        | Weekly           | Daily              |
| Data entry effort         | Low      | High        | Medium           | High             | Very High          |
| Pro conversion likelihood | Low      | Very High   | High             | High             | Very High          |
| Feature breadth           | Narrow   | Wide        | Moderate         | Moderate         | Maximum            |
| Retention risk            | High     | Low         | Medium           | Medium           | Low                |
| Primary value             | Remember | Understand  | Optimize health  | Save money       | Achieve everything |

## Who we are not for

<Warning>
  High IQ is not designed for — and should not be marketed to — the following audiences:

  * **Medical patients seeking diagnosis or treatment plans** — High IQ is informational, not clinical. We never provide medical advice.
  * **Growers, cultivators, or breeders** — different mission, different product category entirely.
  * **Users under the legal age in their jurisdiction** — cannabis products are age-restricted and we enforce this boundary.
  * **People seeking social features, reviews, or community forums** — we deliberately exclude social mechanics to keep the platform intelligence-focused.
</Warning>

## How this shapes our brand

<Tip>
  Every brand decision flows from our audience profile:

  * **Tone:** Smart but never condescending. We explain complex terpene science without talking down to users who already understand it.
  * **Complexity:** Hidden from the user, revealed as intelligence. The multi-stage AI pipeline behind a recommendation is invisible — the user just sees the right answer.
  * **Trust:** No ads, no sponsored content, no data selling. Our audience is privacy-conscious and skeptical — trust is earned through transparency, not marketing.
  * **Speed:** If it feels slow, we have failed. Our audience expects modern app performance and will not tolerate loading spinners or stale data.

  For full voice and tone guidelines, see [Voice and tone](/brand/voice-and-tone).
</Tip>