> ## Documentation Index
> Fetch the complete documentation index at: https://irisdocs.prescientlabs.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Pricing Calculator Framework

> Build a defensible consulting price from delivery economics, scope complexity, risk and client value.

Use this worksheet to avoid pricing purely from instinct.

## Step 1 — Delivery economics

| Input                      | Estimate |
| -------------------------- | -------: |
| Consultant days            |          |
| Partner/senior review days |          |
| Contractor cost            |          |
| Travel/other direct cost   |          |
| Software/usage cost        |          |
| Contingency                |          |

Calculate the minimum fee required to meet your margin floor.

## Step 2 — Complexity multipliers

Score 1–5:

* number of stakeholders;
* number of processes/teams;
* data preparation;
* technical integration uncertainty;
* security/procurement burden;
* executive visibility;
* turnaround urgency;
* change-management complexity.

High scores do not create a mechanical formula. They show where a low fixed fee is dangerous.

## Step 3 — Client value

Estimate the commercial consequence of the decision:

* capacity at stake;
* cost avoided;
* revenue opportunity;
* cycle-time impact;
* risk reduction;
* strategic importance.

Use this to test whether the fee is proportionate to the decision being enabled.

## Step 4 — Scope options

**Core:** smallest scope that produces a useful decision.

**Expanded:** additional process/stakeholder/data coverage.

**Ongoing:** follow-on support, implementation or recurring advisory.

Only present multiple options when they are genuinely different scopes.

## Step 5 — Commercial terms

Specify:

* fee;
* deposit;
* milestone payments;
* payment period;
* validity period;
* assumptions;
* exclusions;
* change-control mechanism.

## Final check

Before sending the price, ask:

* Is the margin acceptable if delivery takes 20% longer?
* Are data-cleaning and revision assumptions bounded?
* Is the value large enough to justify the fee?
* Can we explain the price without apologising for it?

<Note>
  This framework is for commercial planning, not a market-rate benchmark. Geography, experience, reputation and client complexity materially affect pricing.
</Note>