Rhinosight™ See the Unseen

From Repository to Model.

We turn the evidence your organization has already paid for into a single model that states what is known, how solid each finding is and what still needs to be gathered.

The problem

The evidence already exists. What is missing is order and status: knowing what is known, how solid it is and what nobody has asked yet.

Studies from several consultancies

Years of research stored in videos, recordings and reports, each with its own language and no common structure.

Findings that do not cross departments

Results that reach marketing and never product, or that stay in the presentation of the vendor who gathered them.

Data without a model of the customer

Data teams producing dashboards and reports without a shared definition of what the customer is trying to achieve.

They are the same problem under different names: evidence that is expensive, scattered and without status. The result is well known: you pay again for questions that already have answers, and what nobody has gathered goes unexplored.

Three pieces your team uses the next day.

None is a report to be filed away. Each one changes a concrete decision in the research plan.

01

An intentionality model

Your repository consolidated into experience dimensions, intentionalities and success criteria, with the evidential status of every statement and the source it comes from.

What it is forGetting every department to talk about the same customer with the same vocabulary.

02

A gap map

It separates what the evidence already supports from what is only assumed and from what nobody has gathered. It is the piece that keeps you from paying twice for the same question.

What it is forCutting from the plan what is already known and defending what is missing.

03

The design of the next studies

Studies aimed at what has not been explored, with the participant profile, the question and the instrument defined, ready to be budgeted.

What it is forReaching next year's budget with a plan that has already withstood review.

Evidential status

Every statement in the model says how solid it is.

That is how you tell apart what is already good enough to decide on from what still needs to be gathered, and nobody mistakes an assumption for a finding.

VerifiedWhat the evidence supports.
QualifiedWhat depends on context or segment.
HypothesisWhat still needs to be gathered in the field.
Gap map
Dimension · Account opening

What is already known

Open the account from a phone without going to a branch

Verified

Know the fees before accepting the contract

Verified

Get help from a person when identity verification fails

Qualified

What still needs to be gathered

Move a payroll account without losing what the previous bank offered

Hypothesis

Understand what happens to the personal data that is handed over

Hypothesis
Suggested next studyInterviews with people who moved their payroll account to another bank in the last six months.

Illustrative example. The statements do not belong to any client.

What we need from your team

Almost no fieldwork. One three-hour session.

The heavy lifting is ours. From your team we ask for access, a conversation with the decision makers and a sponsor to receive the result.

1

Access to the repository

The studies you already have, in whatever format they are: reports, videos, recordings, transcripts or databases.

2

A session with the decision makers

Three hours to confirm what decision is coming, who approves it and what would have to be true to make it.

3

Delivery for your sponsor

The result comes with an internal business-case summary, so the person backing you can defend it at their own table.

The ontology

MEPI®

The structure the model is built on: experience dimensions, intentionalities and success criteria.

How MEPI® works

The infrastructure

Insightsflow™

Where the study's evidence is organized, traceable from source to conclusion, with no separate licenses.

Afterwards

Adoption, not dependence

Continuity means supporting your team as it adopts the model, not more execution on our side.

The other two offerings.

See all three together
Offering 02 Field Study with Verdict For those who need the right participant and a defensible answer.
Decision it enablesDesign, segment or position with primary evidence you can defend.
Offering 03 In-House Capability For those who already bought AI licenses and cannot tell whether they paid off.
Decision it enablesKnow whether the AI investment already produces real, verifiable work.

Let's talk

Tell us what evidence you have and what decision is coming.

We reply with a proposal with a written price, organized into the four blocks.

Write to us hola@rhinosight.com