Vizma
Book a demo
Time-to-Market

Time-to-Prototyping

Average time it takes to create the first prototype. The KPI creates a shared view of features, releases, defects, work items, and development effort when its population, event rules, and reporting window are documented.

Business context

Why Time-to-Prototyping matters

Trend Time-to-Prototyping with its numerator, denominator, or contributing inputs so that a shift in scale is not mistaken for an efficiency change.

Business question
Where does Time-to-Prototyping differ most across comparable teams, products, channels, or periods?
Teams that use it
Product, engineering, design, quality, finance, and delivery teams.
Decisions it supports
Roadmap trade-offs, release planning, quality improvement, staffing, and development investment.
Calculation

Time-to-Prototyping formula

Total Prototyping Time ÷ Number of Prototypes

Formula components

Prototyping Time
Elapsed time measured with one start event, end event, unit, and treatment of incomplete records.
Prototypes
The consistently counted prototypes included in the metric’s documented population and period.
Reporting period
The consistent day, week, month, quarter, or year covered by every input.

How to calculate Time-to-Prototyping

  1. Define the business scope, reporting period, and the event or status that qualifies for Time-to-Prototyping.
  2. Remove duplicates and exclusions according to the documented rule, while retaining a reconciliation count.
  3. Collect each input in the workbook formula from systems that use the same cut-off and unit.
  4. Apply Total Prototyping Time ÷ Number of Prototypes and label the result with its period, unit, and relevant segment.
Worked example

Time-to-Prototyping example

A fictional team brings together the inputs for Time-to-Prototyping over one consistent month.

  1. Prototyping Time = 600.
  2. Prototypes = 50.
  3. Time-to-Prototyping = 600 ÷ 50 = 12 days.

Time-to-Prototyping is 12 days.

This is the average or ratio for the defined population; individual records can sit well above or below it.

How to interpret the result

Compare Time-to-Prototyping over a consistent cadence and break it down only by segments large enough to support a decision. Review the formula inputs beside the result so teams can distinguish a real operating shift from a denominator or mix effect.

There is no single target that fits every organisation. Interpretation depends on product maturity, technical complexity, team shape, release scope, quality policy, and measurement period. Document the comparison group before labelling a result strong or weak.

Common mistakes and limitations

Inconsistent scope
Changing the included business units, products, channels, or populations makes the trend look different even when underlying performance is unchanged.
Mismatched periods
Formula inputs from different cut-off dates or time windows do not describe one coherent result.
Reading the headline alone
A single value can hide offsetting movement across segments, volumes, or contributing formula components.
Assuming one universal target
A useful comparison depends on product maturity, technical complexity, team shape, release scope, quality policy, and measurement period; use like-for-like internal trends and clearly documented peer groups.
Iteration Time per Product Average time spent on iterations during the development cycle. Average Approval Time Time taken to get approvals for moving forward in the development process. Average Time-to-Market Average time it takes to bring a product from concept to market. Time-to-Testing Average time taken to initiate and complete product testing phases.

Turn metric definitions into answers your team can use.

Vizma helps teams understand and track business metrics using their data. Bring your Time-to-Prototyping definition, underlying data, and reporting questions to a Vizma demo.

Book a demoExplore platform