Sales Forecasting Is a Hierarchy Problem
Sales Forecasting Is a Hierarchy Problem
I own Forecasting and Deal Management in Zoho CRM. From the outside, a forecast looks like a number: how much will the team close this quarter? From the inside, most of the design work is about structure, and about who sees and owns which part of that number.
Real sales organisations are not flat
A forecast has to follow the way a company is organised: reps roll up into managers, managers into regions, regions into the whole business. Many companies have several levels, and they change as teams grow. Designing multi-level hierarchies with roll-up logic that keeps working as the structure changes is the core of the problem.
Deals do not always belong to one person
In many B2B teams more than one rep works a deal. That raises real questions. Who gets credit? How is revenue split? Does the deal count once or twice as it rolls up? Team selling has to answer these clearly, or managers stop trusting the totals.
Trust needs an audit trail
A forecast gets adjusted by people at different levels. When a number changes, someone will ask why. Designing for audit trails from the start, so every change has a who, a when and a reason, is what makes a forecast something leaders rely on rather than question.
AI helps most when it explains itself
AI-powered insights, such as flagging deals that look at risk or likely to win, and spotting anomalies in the numbers, can save sales teams a lot of time. They work best when the user can see the factors behind the signal. A score with no reason attached is easy to ignore.
Edge cases are the product
The happy path in forecasting is simple. The work is in the edges: a rep who moves teams mid-quarter, a deal shared across regions, a hierarchy that changes before the period closes. Designing for those cases is what makes the feature usable for enterprise teams.
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Prabhakar Arya A was part of the August 2026 cohort at Curious PM, alongside 24 other talented participants.