This is a WIP page to aggregate dashboards, analysis, and insights generated or owned by the Product Data Insights team.
Please see the chart below (or follow this link) to see a list of the most-used dashboards that are owned by members of the Product Data Insights team.Note that viewing dashboards in the gitlab:safe-dashboard space may require additional steps to obtain SAFE Dashboard access. If you have any questions about using and interpreting the insights from these dashboards, please reach out to the dashboard owner or tag @product-analysts in the #data channel on Slack.
| Dashboard | Description | Date | SAFE Access Required? |
|---|---|---|---|
| Product Adoption Dashboard | Product KPIs | Ongoing | N |
| Centralized SMAU/GMAU Dashboard | Product KPIs | Ongoing | N |
| Group Namespace Conversion Metrics | Leading indicators of how new namespaces convert to paid customers | FY21 Q4 | Y |
| Stages per Organization (SpO) Deep Dive | What are the most common stage adoption paths for new group namespaces? How does the adoption of certain stages correlate with long-term engagement, expansion, and conversion? | FY22 Q1 | Y |
| Cross-Stage Adoption Dashboard | Analyze how organizations engage with different combinations of stages | FY22 | N |
| Golden Journey Pathways | How effectively are namespaces and instances funneling from one stage to another? | FY 22 Q3 | N |
| Feature Retention | Which features continue to be used for months after its initial adoption? Sortable by delivery type (SaaS and Self-Managed) and plan tier | FY23 Q1 | N |
| Cancellation Reasoning | Self-reported reasons and verbatims that Saas customers are cancelling in CustomersDot | Ongoing | Y |
| Trial Feature Adoption | Y | ||
| Feature Retention | N | ||
| Usage PQL Analysis | Y | ||
| User Attributes Relationship to Paid Conversion | A broad analysis of user attributes identifiable upon Gitlab.com registration and their relationship to paid conversion. | FY23 Q3 | Y |
| Growth Metrics | Describes and illustrates the Growth team's most important metrics and performance indicators. | Ongoing | Y |
| GMAU Churn Analysis | A step-by-step tool for identifying reported GMAU trends. | FY23 Q4 | N |
| Feature Retention 2.0 | View event-level adoption and retention for SaaS and Self-Managed. | FY23 Q4 | N |
| GMAU Crossover | To provide visibility into how GMAUs may be impacted by the use of other GMAUs. | FY23 Q3 | N |
| Time to First Adoption | By plan-level, see the days till inital adoption of all SaaS events. | FY23 Q4 | N |
| SaaS Purchase Funnel | Purchase funnel for SaaS subscriptions. | FY23 Q2 | Y |
| Self-Managed Purchase Funnel via Customer Portal | Purchase funnel for Self-Managed subscriptions through Customer portal | FY23 Q2 | Y |
| Analysis | Description | Date |
|---|---|---|
| Stage Adoption Patterns: SCM <> Code Review <> CI | How do organizations go from using SCM to Verify, and is Code Review used between or after these stages? | FY22 Q1 |
| Secure Free-to-Paid Funnel and Feature Adoption Analysis | Which Secure features are the most adopted during trials and which features have the highest correlation with Ultimate plan paid conversion? | FY22 Q2 |
| Paid SpO Trends among Retained and Churned Namespaces | What stage adoption trends are present when looking at churning namespaces vs.retained namespaces? | FY22 Q3 |
| Characterize CI -> SAST Funnel among Free Projects | Analysis to understand how SAST usage churns over time, and how much of this churn is due to dormant projects (that aren't using CI) vs. active projects that disable SAST. | FY23 Q3 |
| Relationship between Sec Section Featuers & Ultimate Customer's Purchase Decisions | Disection of post purchase survey data to identify how important Sec features were in motivating Ultimate plan purchases. | FY23 Q3 |
| Free vs. Paid. vs OSS/EDU Subscriptions: Engagement Comparison | Comparison of similar metrics (SpO, user-stage engagement, Service Ping Opt-In rate, version adoption rate, etc) based on subscription type (Paid, Free, OSS/EDU) | FY23 Q3 |
| Verify Usage Patterns for Legitimate users & Malicious Users | Study of initial concurrent pipeline & job usage among free accounts to determine benchmarks between legitimate and malicious users | FY23 Q3 |
| Quality SaaS Signup Metric 2022 | Covers the development of a Growth and Marketing metric used to narrow down to a subset of the Gitlab.com user population with a higher likelihood of converting to paid. | FY23 Q3 |
| SaaS Team Activation Metric 2022 | Covers the development of a Growth and Marketing metric used to identify team actions performed in the 1st 14 days that are predictive of paid conversion and retention. | FY23 Q4 |
| Delayed Value Analysis | Studies key feature usage among Trial-to-Paid conversions and presents how trial feature adoption expedites paid feature adoption. | FY23 Q4 |
| SaaS & Self-Managed Purchase Funnel Analysis Overview | Deep dive analysis with multiple insights for SaaS & Self-Managed purchase funnel | FY23 Q2 |
