Turn research text into measures you can defend.

Avestara helps funded research teams analyze open-ended responses, interviews, reviews and other text. We define the measures, check AI-assisted coding against human judgment, and deliver reproducible outputs with their limitations clearly stated.

Discuss a study See how the work is done

Original text
“Honestly it’s the hassle. I’d have to set up another account and learn a new app, and the butcher at my market already knows what I like.”

Response 0417, open-ended survey item on switching to online grocery.
Defined concept
Switching cost: the effort, risk or loss a person expects from changing provider.

Coded in three forms: procedural, relational, financial. Each has a written definition, examples and exclusions.
AI-assisted coding
- Procedural present
- Relational present
- Financial absent
Fixed model version and saved prompts, so the run can be repeated.
Human validation
- Procedural agrees
- Relational agrees
- Financial agrees
Researchers code a check sample blind. Disagreements revise the codebook before the full run.
Analysis-ready measure
id proc rel fin

0417 1 1 0

Delivered with agreement figures for every code and a statement of what the measure cannot show.

id	proc	rel	fin
0417	1	1	0

Figure 1. One response, followed through the package. Purpose-made example; not client data.

The problem we take on

You have valuable text data and a reporting deadline. You need measures that will hold up in your analysis.

AI tools can code thousands of responses in an afternoon. The harder part is knowing what each code means, how often it is wrong, and whether those errors change your results. Reviewers increasingly ask exactly that.

That is the part Avestara takes responsibility for: a defined measure, a documented check against human coders, and outputs your team can inspect and rerun.

One defined package

Each study gets the same core package, sized to its data and question.

A codebook with definitions, examples and exclusions for every code.
AI-assisted coding of the full dataset, run with a fixed model version and saved prompts.
Validation results: agreement with human coders, code by code, and where they disagree.
An analysis-ready dataset and the code that produced it.
A short statement of limits: what the measures can and cannot support.

Scope and timing are set before work starts. Every project receives a fixed-fee proposal after a short review of your data and question.

What the package includes

Who is accountable

Every project is led and signed off by Avestara’s research lead, a PhD researcher whose published work uses large-scale consumer text, survey modelling and AI-assisted coding to study service experience and technology adoption. It appears in journals including Tourism Management and the International Journal of Hospitality Management.

AI is part of the method. Accountability for the measures stays with a named researcher.

About Avestara