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Innovation Management | Part 10 of 18

Innovation Economics: Build a Business Case That Can Learn

Evaluate value capture, lifecycle costs and uncertainty through comparable scenarios and staged investment decisions.

Early innovation forecasts can contain detailed revenue figures while the customer proposition remains untested. The apparent precision can encourage commitment before the business understands its most important uncertainties.

An innovation business case should make the economic logic explicit and improve as evidence develops.

Define the unit of value

Identify who benefits, who pays and what drives the exchange. A customer, installation, subscription cohort or transaction may provide the appropriate unit of analysis.

Estimate the cost of acquiring, implementing and serving that unit. Include support, exceptions, warranty exposure and the resources needed to sustain delivery.

A hypothetical monitoring service may have low software distribution costs but substantial customer integration and response effort. Ignoring those activities produces misleading unit economics.

Separate expected customer value from the amount the provider can realistically capture.

Establish a credible baseline

Compare the initiative with a realistic alternative, including continued operation without the innovation.

The baseline may require maintenance, replacement or a response to market deterioration. Doing nothing is not necessarily cost-free.

Use consistent time horizons and assumptions across options. Identify differences in scope so that apparently attractive returns do not merely reflect omitted obligations.

Business cases become more comparable when the main economic drivers are defined consistently.

Represent uncertainty explicitly

Use ranges and scenarios for demand, pricing, development cost, adoption timing and ongoing delivery expense.

Identify which variables could reverse the decision. The objective is to understand what matters, rather than produce a large sensitivity table with no management implication.

As evidence improves, replace assumptions with observations while retaining the original reasoning. This allows the team to learn whether its estimates were systematically optimistic.

Avoid presenting early scenarios as probability-weighted forecasts without a defensible basis for the probabilities.

Use financial measures according to their limits

Discounted cash-flow analysis examines future cash flows relative to the timing and required return used in the assessment. Payback highlights capital recovery but omits some later consequences.

Finance should help establish consistent assumptions, appropriate methods and the treatment of uncertainty. The calculations cannot compensate for a weak understanding of customer behavior or delivery cost.

Include working-capital requirements and the timing of investment. Revenue growth can create cash pressure when implementation and acquisition costs arrive first.

Distinguish strategic enabling investments from standalone commercial projects, while still explaining the capability and value mechanism they support.

Fund learning and scaling differently

Early funding can purchase evidence about a consequential assumption. Later funding may establish production, service infrastructure or market access.

A pilot should state what it will prove, what it costs and which decision follows. Its economic value depends partly on avoiding or improving a larger commitment.

Staging is useful when information can change the decision before the next irreversible step. Delay also has costs, including lost access or a closing market window.

Make those trade-offs explicit.

Update the case after implementation

Compare actual adoption, cost and benefit with the expected drivers. Investigate whether differences arose from execution, market conditions or the proposition itself.

Assign benefit ownership beyond project completion. A development team can deliver a capability while the business fails to use it effectively.

Use continuation decisions to assess future value. Spending already incurred should not justify further expenditure on an initiative whose prospects have weakened.

Innovation economics provides a disciplined way to connect learning, investment and value capture. The strongest case is one whose assumptions are visible and whose next commitment is supported by evidence.

Reference

Aswath Damodaran: Investment Returns (NYU Stern)

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