Analytics & Feature Enhancements
Instrument analytics, learn from users, and ship the right features faster — all powered by Ruby on Rails backends and modern analytics.
Build What Matters
With 28+ years building data-informed products, we help teams discover opportunities and ship features with measurable impact.
Why Analytics With Us?
We deliver the full loop: instrument, learn, prioritize, build, measure, and iterate.
Analytics & Feature Services
Close the loop from insights to shipped features.
Product Analytics
- Event pipelines
- Attribution & cohorts
- Custom dashboards
Experimentation & Feature Flags
- Feature flags & rollouts
- A/B tests & cohorts
- Guardrail metrics
Performance & Reliability
- RUM & backend metrics
- SLOs, SLIs & alerts
- Profiling & caching
Frequently Asked Questions
Answers about analytics, experimentation, and performance.
What analytics do you implement?
We implement product analytics (events, funnels, retention), marketing attribution, performance metrics (Core Web Vitals), error tracking, and custom dashboards. We use tools like custom event pipelines, Segment, PostHog, GA4, and data warehousing when needed.
How do you prioritize feature enhancements?
We use data-informed prioritization: align with KPIs, quantify expected impact, estimate effort, run experiments (A/B tests, rollouts), and iterate based on results. We work closely with product teams to balance velocity and quality.
Can you set up experimentation frameworks?
Yes. We set up experimentation systems including feature flags, cohorting, guardrails metrics, and statistical analysis. We ensure experiments are properly designed and evaluated for trustworthy decisions.
What about performance monitoring?
We instrument backend and frontend performance metrics, establish SLOs/SLIs, set alerts, and fix regressions proactively. We use profiling, caching strategies, and load testing to keep user experiences fast and reliable.
Do you integrate analytics with data warehouses?
Yes. We can stream events to warehouses (BigQuery, Snowflake, Redshift), model the data, and power BI tools for self-serve analytics across the organization.
Ready To Build With Insights?
Book a consultation to instrument analytics and ship high-impact features.