Problem
People need to see where participants leave a process, rather than only how many started and finished.
Solution
Show a bar for each step in order, using a common scale. Include the count reaching each step and clearly distinguish conversion from the previous step from conversion across the whole process.
Define who is included, the allowed sequence, and the time available to finish. Track the same population through the steps rather than counting unrelated groups at each one.
Use clear bars and labels instead of decorative tapered shapes. Let people compare relevant segments or periods when an overall result would hide differences.
Use when
The process has a meaningful ordered sequence and people can investigate or improve a step.
Don’t use when
The path is a graph rather than a line. If people arrive from several entry points and take different routes, a funnel picks one story and hides the rest—that is what the Sankey pattern is for.
Trade-offs
A funnel hides the timing and alternative routes within the process. The largest drop may be intentional or difficult to change. Different audiences can also have very different results that disappear in the combined view.
Checklist
- Is the step order real and mandatory, or imposed on a messier reality?
- Is both step conversion and overall conversion shown?
- What is the conversion window, and does it suit the decision cycle?
- Is this the same set of people at each step, or independently counted?
- Can someone enter mid-funnel, and where do they appear?
- Is the funnel segmented, or is one number averaging incompatible populations?
- Does anything show whether a drop-off is new or long-standing?
- Is the biggest drop actually the most improvable one?
- Are the counts shown, not only the percentages?
- Is quantity encoded as length rather than as a tapered area?
Compare
Amplitude and Mixpanel made this the centrepiece of product analytics, with conversion windows, segmentation and step reordering as first-class controls, which is what turns a static chart into an analysis tool. Google Analytics ships a goal-funnel view built on session-scoped steps, which is why its numbers so often disagree with a product-analytics tool measuring the same flow on user scope. Grafana has no funnel panel and teams approximate it with a sorted bar chart, which works and loses the step-conversion arithmetic that makes the pattern useful. Sentry inverts the framing entirely, measuring where sessions fail rather than where they convert, which answers the same “where do we lose people” question from the error side.
Related
Sankey and path shows branching routes. Cohort grid follows groups over elapsed time. Ratio and rate explains the denominator.
Stacked composition shows parts of a total. Compare periods helps identify when drop-off changed.