The funnel chart emphasizes the sequential and diminishing nature of a process—each stage represents a critical point, and the width difference between stages directly reflects conversion efficiency. For example, if the funnel narrows sharply from 'Registered Users' to 'Ordering Users', it indicates a significant dropout issue at that stage. This design allows analysts to quickly identify bottlenecks (such as high page bounce rates, high payment failure rates) and assess optimization priorities by quantifying loss ratios (such as the decline in conversion rates).

The funnel chart transforms abstract process data into spatial awareness, enhancing sensitivity to loss through the visual 'narrowing' effect. It is particularly suitable for scenarios that require monitoring multi-step conversion efficiency (such as sales funnels, user lifecycle management, product feature usage paths), serving as an important decision basis for optimizing process design and improving resource utilization efficiency.

The funnel chart emphasizes 'process reduction', displaying data conversion and loss in sequential steps through a shape that narrows from wide to narrow (such as decreasing customer numbers in sales funnels), suitable for identifying loss stages and optimizing conversion efficiency;
The pyramid chart focuses on 'hierarchical distribution', presenting the proportional relationship of different categories or levels in a shape that widens from narrow to wide (such as age distribution in a population pyramid), suitable for displaying structural stability or importance ranking.

1. Focus on 3-7 key stages, eliminating redundant steps (such as merging secondary steps before 'View Details' and 'Add to Cart').
2. Ensure unambiguous stage definitions (such as specifying whether 'Payment Success' means order completion or fund arrival) to avoid double counting.
3. Use contrasting colors to differentiate stages, with width strictly scaled according to data proportions, and label conversion rates/values, avoiding excessive decoration.
4. Add reference lines for industry averages or historical data to quickly locate advantage/disadvantage stages.