Market Opportunities · Sizing · Component

The sanity check

What the number implies, tested against something observable — because implausible implications surface immediately.

The deliverable

What it is

Every sizing implies things: a market share, a revenue per customer, a unit volume, a headcount required to serve it. Checking those implications against something observable catches most errors in minutes.

The second check is sensitivity: which single assumption, if wrong by half, halves the answer? That assumption is the one worth spending research money on.

One level in

What it is made of

Each element is a constituent part of the component. Follow one to see the attributes it carries.

  1. The implications

    What the figure implies about share, volume or capacity.

    3 attributes: Implication · Implied value · Plausible

    Learn
  2. The comparator

    Something observable the number can be checked against.

    3 attributes: Comparator · Their figure · Source

    Learn
  3. The sensitivity

    Which assumption the answer actually depends on.

    3 attributes: Assumption · Effect on total · Confidence

    Learn

Find the one assumption that would halve the answer. That is where the research budget should go.