Anana — where AI meets hospitality
HCP — Hospitality Context Protocol
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Original findings on hotel demand and AI discovery.
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Ideas and analysis for modern hotel commercial teams.
WorkspaceReporting

Investigate every number

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the problem

Dashboards measure what happened, not why it happened. 

The same conversion rate can hide completely different commercial problems: unavailable inventory, lost demand, booking-path friction, or simply not knowing what happened.

Features

Follow the number all the way down

What produced it?

Open any metric into the inquiries, guests, outcomes, and conversations that produced it.

What produced it?
What actually happened?

What actually happened?

Separate Booked, Pending, Unavailable, Lost, and Unknown demand instead of collapsing different outcomes into one rate.

What do we know for sure?

Keep Unknown visible until the underlying evidence supports a real outcome or reason.

What do we know for sure?
How does it compare?

How does it compare?

Apply the same definitions across every property, so portfolio differences reflect performance rather than reporting habits.

Defensible by definition

A number you can defend

Every Anana measure has a public definition — what is counted, what is excluded, how it is calculated, and what the result does not claim.

Direct-Demand Conversion

Qualified demand that resulted in a direct booking.

Outcome Coverage

Qualified opportunities with a verifiable outcome.

Known-Reason Coverage

Non-converting demand with a reason supported by the evidence.

See what your numbers are actually telling you

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