Turn open-ended survey responses into insights
Get more out of your verbatims. Cut your turnaround time down to minutes while producing more consistent & actionable insights.
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TRUSTED BY BOUTIQUE MARKET RESEARCH AGENCIES AS WELL AS LEADING INSTITUTES
We chose Caplena as our text analysis tool after carefully comparing alternatives back in 2018. It is great to witness the development of the platform over the past 3 years - making us happier customers with each update.
Pia Helen Kampf
Research Consultant @
50%
less time needed for open-end analysis
3.5M +
verbatims analyzed (08.2021)
50+
users working on Caplena
Are we a match?
Caplena and you have liked each other!
Caplena
Market Researchers
Why it works...
You can achieve ultra-fast turn around times when analyzing open-ends if you use modern machine learning platforms and a streamlined analysis process. Nevertheless, it is not economically feasible to develop and operate cutting-edge deep learning algorithms for a single market research company.
We dedicate our entire energy to help you overcome that technological gap.
... for market researchers
The case for open-ends
Achieve deeper insights with open-ends
Less bias, deeper insights and shorter surveys, everyone loves open-ends but the researcher. Long turnaround times and high costs belong to the past.
Your business case
Reduce your turn-around times from days to minutes and save costs
Using a modern ML platform is a great time saver and lets you slash between 30% to 80% of your current coding costs. If you wonder if you could build your own solution, check our Q&A below.
Your opportunity
Empower your researchers to generate deeper insights
AI-assisted text analysis is all about augmenting researchers, leading to better results for your customers. Ultimately this will increase your share within the open-ended research market.
Who
Pros
Cons
Research
buyers
buyers
- Less biased responses
- Higher response-rate
- More relevant & actionable results
- Deeper insights
- -
Respondents
- More intuitive to fill-out
- Shorter surveys
- -
Researchers
- Easier to create surveys
- Associated with long turnaround times
Small agency
Mid-sized/large agency
Average responses per survey: 100 - 400
Speed up
- From open-ends to insights: 3x to 8x faster**
- Generate topics faster with AI support
3 projects per month
Save costs
- Save around 30% to 60% of your current coding costs
- React flexibly upon last-minute change requests
80% ad-hoc studies / 20% repetitive* studies
Enjoy
- Enjoy a better overview and let the streamlined process guide you to better insights
- Have more fun while analyzing open-ends
* Similar studies within same industry, product, company or trackers
** Compared to manual analysis or traditional tools
** Compared to manual analysis or traditional tools
Comparing text analysis technologies
Using a mix of supervised and unsupervised machine learning leads to high-quality outputs with a minimum of manual intervention
Caplena
Excel
MaxQDA
Qualtrics
Gavagai
Discover.ai
Core principle
Augmented Intelligence
Unique mix of supervised & unsupervised Machine Learning: Learning from over 8M reviewed responses Caplena generates high-quality topics and detects sentiments automatically.
Manual analysis
Manual coding & very simple rules for topic assignment
Manual &
rule-based
rule-based
Manual coding and Rule-based topic assignment.
Rule-based & sentiment
Rule-based topic assignment and automated sentiment analysis.
Keyword detection
Unsupervised topic detection.
Exploration & Discovery
Unsupervised clustering and human analysis.
Text type
Quant
Optimized to analyze up to 1k characters per text comment on average.
Indifferent
Qual & mixed
Quant
Indifferent
Qual
Data ingestion
Files, API, review scraping
Besides file-based uploads and API connections with other Apps, you can also directly scrape reviews from various sites from within the app.
Files
Files
Files, API
Files, API, review scraping
Files, online sources
Pros
High-quality, powerful & customizable AI
- Actionable & customized insights
- Astounding automation level for high-quality output
- Full control over topics
Familiar & flexible
Versatile solution for qual research
Holistic solution for quant feedback
Quick high-level results
Explorative, creative results for qual
Cons
Fine-tuning for human-like output
A few manual reviews required for human-like coding quality. But this also means human-level assignment quality is achievable, which cannot be said for most other tools 😉.
Time-consuming; labor-intensive
Time-consuming; Not for quant
Only basic AI; Not optimized for open-ends
Inconsistent topics over time; Difficult to customize
Inefficient and inconsistent for quant data
What others achieved with Caplena
Frequently Asked Questions
Can we build a cheaper solution with our own data scientists?
How accurate is Caplena compared to manual coding?
What is Augmented Intelligence?
Which languages are supported? And what about multilingual text comments?