11
Building an intelligent analytics agent that grows your SaaS
r/SideProject
6/30/2025
SAAS TOOLS
| SaaS | URL | Category | Features/Notes |
|---|---|---|---|
| Stripe | Not provided | Payment Processing | Used as data source for analytics |
| Metricster | https://metricster.com | Analytics | Intelligent analytics agent, automated onboarding report, proactive insights |
USER NEEDS
Pain Points:
- Existing analytics tools only show vanity metrics without interpretation
- Users struggle to understand what metrics mean for their business
- Lack of actionable insights from data
- Manual effort required to connect the dots between metrics
Problems to Solve:
- Need for automated interpretation of business metrics
- Desire for actionable recommendations based on data
- Reducing manual analysis workload
- Making analytics more accessible to non-experts
Potential Solutions:
- Building an "intelligent analytics agent" that acts like a junior analyst
- Automated onboarding reports that explain business performance
- Proactive insights generation without manual setup
GROWTH FACTORS
Effective Strategies:
- Focusing on solving specific pain points (data interpretation)
- Building features that reduce manual work for users
- Creating proactive rather than passive analytics
Marketing & Acquisition:
- Sharing sneak peeks of upcoming features to generate interest
- Engaging with communities (e.g., Reddit) for feedback
- Showcasing sample reports to demonstrate value
Monetization & Product:
- Targeting product-market fit by solving real user frustrations
- Developing features that provide immediate value (automated onboarding)
- Positioning as more than just dashboards (proactive insights)
User Engagement:
- Soliciting user feedback during development
- Building excitement through previews of unreleased features
- Creating shareable sample reports for demonstration