Why granularity matters
Granularity changes more than the column headers in a table. It affects:- how much detail you can model
- how often users review and update values
- how much relative time logic you need
- how important
Time rollupsbecome in reporting - how much model complexity you carry over time
Supported granularities in Oculon
The current docs assume these supported model granularities in Oculon:- Monthly: best for most operating plans, rolling forecasts, and management reporting.
- Quarterly: useful when teams plan at a higher level and do not need month-by-month operational detail.
- Yearly: useful for long-range planning, target setting, or simple strategic models.
How to choose the right granularity
Choose the most detailed level that the business will actually use. Start with these questions:- Do you review performance every month, quarter, or year?
- Do formulas depend on seasonality or month-end timing?
- Will users make forecast changes period by period?
- Do you need detailed budget versus actual analysis during close?
Examples
Monthly model
Use monthly granularity when you need rolling forecasts, monthly close reviews, hiring plans, spend analysis, or detailed budget versus actual comparisons.Quarterly model
Use quarterly granularity when the business mainly reviews performance at quarter level and the extra detail of monthly planning would add maintenance without changing decisions.Yearly model
Use yearly granularity when the goal is long-range planning, scenario framing, or target setting rather than operational forecasting.How granularity affects other time features
Granularity is closely tied to the rest of the Time section:- It changes how
Relative timereferences behave. - It influences how often actual and planned formulas are evaluated.
- It determines which period groups appear in
Time rollups. - It shapes how important
Time aggregationbecomes when you summarize a metric.
Common mistakes
Watch for these issues:- choosing monthly detail just because it feels safer, even when nobody reviews that level
- choosing quarterly detail for a model that still needs monthly close and forecast updates
- changing granularity after formulas, scenarios, and boards are already in use
- assuming a coarser model will automatically solve problems that are really about formula design or governance

