Nuanced, actionable codes with human level accuracy in minutes not days

The problem

Researchers are stuck

Wasted resources: Time, money and sanity coding or correcting results

Missed insights: Discarded survey open ends or lacking nuance due to cost & time constraints

Lost opportunities: Missed deadlines, unhappy clients and failed bids from limited capabilities

The solution

Open end analysis transforms your process

Blazingly Fast: 150-300x faster than a human data analyst

Highly Accurate: Reads, understands and codes results logically rather than just clustering

Nuanced: Detailed and actionable themes even on complex topic areas and novel data types like chat bots

Interviewed 60+ top research firms

Do the math

Small numbers, big impact

$0.75

Average current cost

2 min

Time to code each OE

3000

OEs per project

What’s wrong with existing solutions?

The trust gap

Pattern-matching isn’t comprehension. That’s why most AI coding tools fall flat.

AI shouldn’t just group words—it should understand them. Most tools fail because they rely on simple word-matching, not true comprehension.

"

We've used some other AI type programming for open ends, and my biggest complaint is that it basically just goes in and tries to find words

Reported by Curion, 200-500 employees

Average reported confidence score (out of 10)

8

6

4

2

0

Existing AI Tools

AI Tools

Humans

+33% trust gap

+33% trust gap

Existing AI tools

Humans

Reliable

Existing solutions

Generic

Nuanced

Existing solutions

Unreliable

Accuracy at the expense of nuance

Research teams are forced to choose between:

Option A

Codes that are descriptive, actionable but low in confidence.

Option B

Generic codes that are statistically robust but lack any real insight.

"

There’s no tool right now that we are currently using that has something remotely close to what we're looking for

Reported by Sentis Research, 11-50 employees

Inconsistency and subjectivity

Results shouldn’t depend on how analysts were feeling.

Subjectivity is unavoidable with human labelling—outcomes vary based on who’s coding and when.

"

I think what is tricky is we are doing that manually... the risk of error is huge.

Reported by Research Director, Consultancy

Top pain points with human coding for open end analysis

Top pain points with human coding for open end analysis

Scalability & efficiency

Usability & complexity

Accuracy & consistency

Cost & resource constraints

Integration & flexibility

0

5

10

15

20

25

Weight

Lost projects

Discarded Data

Burnt Resources

"

Unless we go back and manually check all of their coding... there's not much nuance to it.

"

Reported by The Link Group, 50-200 employees

Ready to escape the cycle?

You shouldn’t have to choose between accuracy and efficiency. With CoLoop, you get both.

Fast & accurate analysis

Human level accuracy from the team that built the leading qualitative analysis platform powering ~300+ research agencies & strategy teams.

Spend less on data analysts

Saves time & money with flexible pricing in a ready to use self-service tool.


Nuanced & complex

Works on complex subject matter, goes beyond simple word matching and doesn’t need to be rechecked.