Grafana Labs: Sales capacity planning with Pigment that actually scales

Grafana Labs builds an open and composable observability platform that helps teams query, visualize, and alert on metrics, logs, and traces across many data sources. The organization supports both widely adopted open-source software and managed offerings such as Grafana Cloud, used by organizations that need reliable visibility into complex systems.

As Grafana Labs scaled, the team needed sales capacity and quota planning to keep pace. Their process had been built in Excel, which worked well early on but became increasingly difficult to maintain, reconcile, and adapt as territories, headcount, and targets evolved.

Pushing Excel beyond its limit

Before Pigment, Grafana’s planning was fragmented across spreadsheets, Adaptive Insights and other disconnected workflows which made reconciling data across revenue operations and finance difficult. Their sales capacity model and target setting lived in spreadsheets. 

The team managed:

• Bottoms-up headcount planning
• NACV targets and new logo targets
• Attrition, promotions, and internal moves
• Change logs across multiple tabs and versions

As Grafana grew, the workflow became increasingly manual and error-prone, especially when teams referenced different versions of the truth.

Territory changes often required extensive rebuilds or long chains of interdependent edits. Roster change logs were hard to maintain, and open headcount could go unnoticed. And producing a clean, trusted view for executives required lots of manual reconciliation.

Moving to a platform built for scale

Grafana chose Pigment for a variety of reasons. Their vision was to move from spreadsheet-based planning to a platform that could:

• Create a single source of truth for roster, headcount, and targets
• Enable faster, safer scenario planning across territory, quota, and hiring changes
• Provide leadership-ready views and scorecards with decision-grade visibility
• Reduce manual effort by structuring change tracking and supporting operational inputs

Grafana also valued Pigment’s modeling approach, describing it as working with structured building blocks rather than sprawling spreadsheets, which helped the team think more clearly about architecture and governance.

A phased implementation

Phase 1: Establish the AE roster and quota foundation

The initial milestone was migrating the AE roster, headcount, and key quota drivers into Pigment as the foundation for the broader model.

Phase 2: Parallel validation to de-risk rollout

Grafana planned to run Pigment alongside the prior process for a short period to confirm parity, validate outputs, and close any gaps before fully switching over.

Phase 3: Expand to more teams and broader planning

With the AE “bones” in place, Grafana’s roadmap includes:

• Adding additional teams tied to accounts and territories
• Expanding Pigment usage into broader planning areas, including finance planning use cases

Outcomes: speed, trust, and planning that keeps up with Grafana

Grafana is early in the rollout and intentionally held off on locking in hard time-savings metrics. Still, the impact areas are clear.

Higher productivity with fewer spreadsheet battles

The biggest pain point was productivity: time spent wrangling complex spreadsheets, resolving confusion, and debating which version was correct. Pigment is expected to reduce that drag by centralizing planning and making changes easier to draft and propagate.

Faster scenario planning across territories, quotas, and headcount

Grafana expects Pigment to speed up scenario planning for use cases like:

• Territory remaps
• Quota and target adjustments
• Headcount changes and hiring scenarios
• Comparing bottoms-up hiring plans against top-down goals

More reliable headcount visibility

By structuring roster changes and improving the way changes are tracked over time, Grafana expects:

• Fewer “mystery deltas” in headcount reporting
• Better awareness of open roles and staffing needs
• More confidence from finance and operations stakeholders

Leadership-ready views and confidence at a glance

Grafana called out the value of leadership views and scorecards that make it easier for executives to see accurate data quickly, without manual reconciliation.

Stakeholder feedback

Early stakeholder feedback has been strongly positive, with a clear sense of momentum around the shift to Pigment. 

Operations leadership has been especially enthusiastic about establishing a reliable roster foundation in the platform, and the sales planning owner who previously ran the process in Excel has been energized by the transition to a more scalable approach. 

Finance stakeholders have also leaned in, emphasizing how critical always-on headcount accuracy is for planning and reporting, and viewing the move to Pigment as a meaningful step toward fewer surprises and more confidence in the numbers.

Advice from Grafana to other leaders implementing Pigment

Grafana’s guidance is simple and sharp: start flexible at the foundation. Build an adaptable architecture first, then make it more rigid as the organization’s needs mature. In other words, pour the concrete after you are sure where the doors go.

What’s next: forecasting, enablement, and AI-assisted build acceleration

With the core foundation in place, Grafana is already looking ahead to deepen value and expand impact. The team is excited to explore Pigment’s AI capabilities as a practical accelerator, especially as planning extends across more teams and interdependencies.

Key next steps include:

• Predictive forecasting to strengthen visibility into NACV and other critical metrics, helping leadership plan with even greater confidence.
• AI-assisted model building to speed up formula creation and logic development, making it easier to iterate quickly as the organization scales and planning needs evolve.

Why PlanSimpli? 

Grafana partnered with PlanSimpli for implementation because the engagement went beyond delivery. PlanSimpli prioritized enablement so Grafana could confidently own and expand the platform.

Grafana highlighted two key differentiators:

1. Enablement-first approach: PlanSimpli focused on knowledge transfer, not just building and handing over a solution. 
2. Optionality and pragmatic design: PlanSimpli offered multiple implementation options with best-practice guidance, helping Grafana balance flexibility with structure (including thoughtful use of overrides rather than over-engineering early).

If you’d like to learn more about how PlanSimpli can help you scale your organization’s Sales Capacity Planning with Pigment, contact them here!