User Personas

Overview

High IQ serves diverse cannabis consumers with different motivations, data comfort levels, and engagement patterns. Understanding these personas helps design features and flows that resonate with each segment. Every persona follows the same lifecycle but takes different paths and prioritizes different features.

Persona Overview

Persona 1: The Casual Consumer

Profile: Uses cannabis recreationally 1-3 times per week. Wants to remember what they liked without too much effort. Key characteristics:

Attribute	Value
Data entry tolerance	Low — prefers photo upload over manual
Feature depth	Shallow — uses 2-3 features regularly
Primary features	Stash, Favorites, Strain Browse
Conversion driver	”Remember what I liked” value prop
Churn risk trigger	Too many steps required for basic tasks
Re-engagement hook	”You haven’t tracked your latest purchase”

Typical journey:

Add 2-3 strains manually after a dispensary visit
Favorite the ones they enjoyed
Check favorites before next visit
Occasionally upload a receipt
Browse trending strains for new ideas

Edge cases:

May not grant Gmail permissions (privacy concern)
May forget to log consumption (low engagement)
May use the app in bursts around dispensary visits

Persona 2: The Connoisseur

Profile: Passionate about cannabis strains, terpene profiles, and genetics. Wants deep knowledge about everything they consume. Key characteristics:

Attribute	Value
Data entry tolerance	High — enjoys detailed tracking
Feature depth	Deep — explores every feature
Primary features	Collection, Rankings, Label Scanner, Notebooks, Ask AI
Conversion driver	Terpene data depth, strain profiles, AI analysis
Churn risk trigger	Database missing their favorite strains
Re-engagement hook	New strain research completed, ranking updates

Typical journey:

Import full purchase history via Gmail
Scan every label for terpene data
Build comprehensive collection with owned/tasted/wanted
Rank strains obsessively via ELO comparisons
Generate notebooks for every purchase
Ask AI about terpene interactions and strain comparisons
Submit undiscovered strains to research pipeline

Persona 3: The Health-Conscious

Profile: Uses cannabis for wellness — sleep, anxiety, pain relief, recovery. Wants to understand how different strains affect their body. Key characteristics:

Attribute	Value
Data entry tolerance	Medium — tracks what matters for health
Feature depth	Moderate — focused on analytics and effects
Primary features	Stats, Notebooks, Ask AI, High Families
Conversion driver	Pattern discovery (“indicas affect my sleep”)
Churn risk trigger	Lack of effect/health correlation features
Re-engagement hook	Consumption pattern insights, restock predictions

Future feature priority: Health Sync (Oura, Apple Health), Session Journal, Effect Predictions.

Persona 4: The Budget Optimizer

Profile: Tracks spending closely, looks for deals, compares dispensary prices. Wants to optimize their cannabis budget. Key characteristics:

Attribute	Value
Data entry tolerance	High — logs every purchase with price
Feature depth	Moderate — focused on financial features
Primary features	Stats (Spending), Dispensaries, Shopping Agent, Gmail Sync
Conversion driver	”See exactly where your money goes”
Churn risk trigger	Spending data inaccurate or incomplete
Re-engagement hook	Monthly spending report, deal alerts

Persona 5: The Data Nerd

Profile: Loves data, analytics, achievements, and gamification. Wants to unlock everything and understand every pattern. Key characteristics:

Attribute	Value
Data entry tolerance	Very high — enjoys the process
Feature depth	Maximum — uses every feature extensively
Primary features	Achievements, Stats, Rankings, Daily Stories, Notebooks
Conversion driver	Achievement system, level progression, identity titles
Churn risk trigger	Running out of achievements to earn
Re-engagement hook	New achievement tracks, seasonal challenges

Persona Comparison Matrix

Dimension	Casual	Connoisseur	Health	Budget	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
First action	Manual add	Label scan	Manual add	Gmail import	Gmail import

Persona Flow Through Features

Master Journey

How all personas progress through the master journey.

Feature Adoption

Feature discovery and adoption patterns by persona.

Onboarding

How each persona experiences onboarding differently.

Re-engagement

Re-engagement strategies tailored to each persona.

Getting Started

Plans

Features

Social Content

Troubleshooting

Account & Privacy

User Flows

FAQ

Overview

Persona Overview

Persona 1: The Casual Consumer

Persona 2: The Connoisseur

Persona 3: The Health-Conscious

Persona 4: The Budget Optimizer

Persona 5: The Data Nerd

Persona Comparison Matrix

Persona Flow Through Features

Master Journey

Feature Adoption

Onboarding

Re-engagement

​Overview

​Persona Overview

​Persona 1: The Casual Consumer

​Persona 2: The Connoisseur

​Persona 3: The Health-Conscious

​Persona 4: The Budget Optimizer

​Persona 5: The Data Nerd

​Persona Comparison Matrix

​Persona Flow Through Features

​Related Flows

Master Journey

Feature Adoption

Onboarding

Re-engagement

Overview

Persona Overview

Persona 1: The Casual Consumer

Persona 2: The Connoisseur

Persona 3: The Health-Conscious

Persona 4: The Budget Optimizer

Persona 5: The Data Nerd

Persona Comparison Matrix

Persona Flow Through Features

Related Flows