Set your base year first
The base year is the reference point every future reduction is measured from. Nothing else in Pathway works until it is set, and changing it later means restating your whole trend. Choose one that is:- Recent enough to be representative. A base year from an unusual trading period will distort every percentage that follows.
- Complete enough to defend. Weak baseline data makes an impressive-looking reduction that falls apart under questioning.
- Stable. If you know a large acquisition is imminent, the year before it may not be the right anchor.
A base year with modest coverage is not automatically a bad base year, as long as its gaps are documented. What causes problems is a baseline whose scope quietly differs from the years measured against it, which makes the reduction an artefact of coverage rather than a real change.
Write a recalculation policy
Decide in advance when you will restate the base year, and write it down before you need it. The GHG Protocol expects recalculation for structural changes:- Acquisitions, divestments, and mergers
- Outsourcing or insourcing an emitting activity
- Significant methodology changes or data quality improvements
- Discovery of a material error
Define the target
A target needs four things:- A base year, already designated
- A target year, the point the reduction is measured at
- A reduction percentage, against the base year
- A scope, stating which emissions are covered
Track against the trajectory
Once the target exists, each completed assessment plots against the line. What you are looking for is not a single year’s movement but whether the gap between actual and required is opening or closing. Two things to watch when reading it:- Check the boundary before you celebrate a drop. If a site closed or a data source was removed, the fall may be a coverage change rather than a reduction. See Understanding your dashboard and charts.
- Watch the categories, not just the total. A total that holds steady can conceal a real reduction in one category offset by growth in another. The category view is where the actual story is.
Keep the method constant
The most common way a target becomes unreadable is a methodology change midway through. Upgrading a category from spend-based to activity data usually changes its measured emissions, so an improvement in data quality can look like a jump in emissions. That is not a reason to avoid improving your data. It is a reason to do two things when you do:- Note the change in that year’s methodology
- Consider whether your recalculation policy requires restating the base year

