What features could Tonal add to its AI-powered coaching to make strength training sessions more engaging and motivating?

Introduction

To improve Tonal's AI-powered coaching and make strength training sessions more engaging and motivating, we need to analyze the current user experience, identify pain points, and develop innovative solutions. I'll approach this by examining user segments, analyzing pain points, generating solutions, and proposing metrics to measure success.

Step 1

Clarifying Questions (5 mins)

• Looking at Tonal's position in the connected fitness market, I'm curious about the current user retention rates. Could you share any insights on user churn or engagement drop-off over time?

Why it matters: Understanding retention helps us focus on whether to prioritize onboarding improvements or long-term engagement features. Expected answer: Moderate churn rate with engagement dropping after 3-6 months. Impact on approach: Would focus on features that maintain motivation and progress over time.

• Considering the AI-powered coaching aspect, I'm wondering about the current personalization capabilities. How granular is the AI's ability to adapt to individual user progress and preferences?

Why it matters: Determines the level of sophistication we can build upon for new features. Expected answer: AI adapts to user performance but has limited understanding of preferences. Impact on approach: Would explore ways to enhance personalization and user input into AI decisions.

• Given the competitive landscape with products like Peloton and Mirror, I'm curious about Tonal's unique value proposition. What do users consistently cite as Tonal's biggest differentiator?

Why it matters: Helps ensure new features align with and enhance Tonal's core strengths. Expected answer: Tonal's strength training focus and adaptive resistance are key differentiators. Impact on approach: Would emphasize features that leverage and expand upon these unique aspects.

• Considering the potential for social features, I'm interested in understanding the current user demographics. Could you provide insights into the age range and fitness levels of our primary user base?

Why it matters: Influences the type of social and motivational features that would resonate most. Expected answer: Primarily 30-50 year old professionals with varying fitness levels. Impact on approach: Would tailor features to busy professionals looking for efficient, effective workouts.