Deep Dive is a lifestyle app for coaches and individuals that provides a digital deck of 111 cards and 400+ self-reflection questions.
The App DNA
What makes this app unique?
Users hire Deep Dive to maintain continuity between coaching sessions and to facilitate structured self-inquiry through a recurring, guided rhythm.
For Professional coaches, facilitators, and individuals interested in structured self-reflection.
Key features
Digital deck with 111 cards and 400+ questions for self-inquiry.
Tool designed for use between sessions to maintain client engagement.
Automated delivery of new questions to drive recurring app opens.
How much does it cost?
Freemium model gates advanced content beyond the free weekly impulse.
Velocity
Maintenance developmentperformanceopaqueShow more...
The app currently operates on a maintenance schedule, with the last two releases occurring nearly two months apart. Development is limited to minor optimizations and bug fixes, with no evidence of new features or live-service content. The release notes remain consistently opaque, providing no insight into specific improvements or technical changes. This cadence suggests a stable, low-intensity development cycle focused solely on basic upkeep.
Who built it?
User Sentiment
What do users think recently?
How are ratings & reviews evolving?
Not enough recent reviews to extract reliable themes yet.
Read the full review analysisCompetition
Competitive landscape for Deep Dive - Self-reflection
How's the Lifestyle market?
Deep Dive operates as a specialized reflection tool in the lifestyle category, differentiating from general journaling apps through its coaching-oriented prompt structure.
Read the market outlookThe rivals identified
Unlock the deeper market read.
Access the full report for freeThe Analyst's Read
Key takeaways for Deep Dive - Self-reflection
Where is it heading?
The reflection market is consolidating around AI-automated tools that reduce user effort. Deep Dive must transition from a static prompt provider to an insight-generating platform to remain competitive.
- AI-native competitors are automating reflection, which increases the churn risk for manual-input apps like Deep Dive.
- The current weekly prompt cadence maintains a steady, albeit static, engagement loop for existing users.
The SWOT
- Structured question-card library functions as a repeatable engagement mechanism for coaching workflows
- Integration of AI-driven narrative synthesis could bridge the gap between static prompts and actionable insight
Next best moves
Ship AI-driven pattern recognition because competitors like Ondo automate reflection insights → increase user retention
The counter-intuitive read
The 'AI journaling' trend is a threat…
Read the full takeFeature gaps
Automated pattern recognition (available in Ondo but missing here) +1
Since the last report: The app has pivoted its roadmap from B2B referral growth to technical feature parity with AI-native journaling competitors.
Bottom line
Deep Dive provides a structured framework for self-inquiry, but its manual-input model is increasingly exposed to AI-native competitors, so the PM should prioritize integrating automated pattern recognition to retain users who demand efficiency.
Unlock 1 critical friction, 1 market threat and the analyst’s take.
Access the full report for freeSources
- [1] Developer website, source
Report last updated