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Unpickle Unpickle Analytic Solutions Pvt. We are headquartered in Bangalore the IT hub of India. It reduces time to insight from days to hours.

Ltd, is a Customer Experience Platform provider making consumer services more profitable, engaging and empowering; by synergistic combination of Machine Learning, Technology and Digital. Infopickle is offered both as a service as well as a platform for researchers and analysts to efficiently improve quality of insight. Infopickle automatically creates theme codebook, locates insight and validates

contextual responses. Transcription Analyses module assists qualitative researchers to sort Focus Group Interview (FGI) as per analyses view, summarises responses by sentiment, key themes for focused reading and creates perceptual maps. Infopickle improves quality of insight with the help of text analytics-based themes. Self-serve nature of the platform eliminates the need to learn text analytics. Infopickle is used by leading market researchers, customer service professionals, HR employee engagement teams and customer relationship managers.

10/05/2024

Qualitative Data Analysis: Slice Dice Theme, Tonality, Context Questions, Filter in Tableau
Are you a qualitative researcher tired of the slow and cumbersome process of data analysis? Do you want to integrate findings from focus Group Interview, social media posts, insta photos, and open-end verbatim feedback. Are you scared of Chatgpt if its reading all your data or making up its own data.

With our Solution:

Effortlessly Read Verbatim Data using excel based point n click Content Analyser.

Spend less time coding and more time exploring multiple views of your customer insights across cohorts, themes, and tones using Tableau.
From data management to storytelling and report writing, get comprehensive support for senior freelance researchers with our AI-Powered Research Assistants.

No new software learning required. Get top-line findings in just a day.

Interested? Connect with us at https://calendly.com/milind-kelkar/cxta-demo.

19/02/2024

Structuring Unstructured Qualitative data using Python and LLM
The life of a qualitative researcher is inherently complex and demanding. Tasked with moderating focus group interviews, drafting proposals, and addressing client queries, Researchers navigate a tight schedule. The introduction of new tools, regardless of their sophistication, often meets resistance due to the time investment required to learn them. Furthermore, the intrinsic value qualitative researchers place on direct, "in vivo" interactions with conversational data presents an additional layer of challenge in adopting technological solutions.

Qualitative researchers prioritize a hands-on approach to data, favoring the nuances of reading, listening to, and watching unfiltered respondent conversations. This commitment to authenticity ensures depth and richness in data interpretation but also imposes significant time constraints and operational inefficiencies, especially when managing vast amounts of unstructured data.

The advent of Large Language Models (LLM) and General AI technologies offers a transformative solution to these enduring challenges. By leveraging these advanced models, qualitative researchers can enhance their data analysis processes in several key areas:
1. Data Sorting of all interviews by analysis questions and cohort details
2. Auto Summaries and AI generated themes, code and sentiment with 100% accuracy
3. Themes and Code side by side conversations in the form of pre-loaded coded word and excel file

Interested in exploring further? Connect with us at https://calendly.com/milind-kelkar/cxta-demo.

06/02/2024

Qualitative Data Analysis: Conversation Volume vs. Conversation Impact
Conversation Analysis delves into the intricate dynamics of dialogue among respondents, differentiating between the quantity of conversation and its significant effects. It's understood that not every discussion carries the same importance; some have a deeper resonance, affecting variables like ratings, preferences, barriers, and improvement areas. A large amount of conversation signals basic expectations. Conversely, the impact highlights distinctions in outcome variables, particularly in mixed-method research approaches like surveys. Attributes or touchpoints characterized by both high volume and high impact warrant prioritization. Situations with high volume but low impact are considered basic necessities, whereas those with low volume but high impact may indicate emerging trends.

Interested in exploring further? Connect with us at https://calendly.com/milind-kelkar/cxta-demo.

05/02/2024

Qualitative Data Analysis: Auto summaries locally on your machine using GenAI

Focus groups and secondary research involve the analysis of substantial text. To facilitate the identification of key themes in the main text, a condensed summary proves useful.
In certain sectors, like Healthcare, compliance reasons may discourage the use of browser-based summary tools such as ChatGPT. For such scenarios, Researchers can summarize text data on their local machine using GenAI. We provide an internal training video specifically designed for Qualitative Researchers. The video, spanning 25 minutes, guides non-techies through a step-by-step implementation process. This involves setting up GenAI on a local machine by installing Python, Jupyter Notebook, and the Auto Summary packages, with a focus on the Hugging Face package.

Link: https://youtu.be/cqemzTftFB4
Interested in exploring further? Connect with us at https://calendly.com/milind-kelkar/cxta-demo.

31/01/2024

Qualitative Data Analysis: 4 Fixes if ChatGpt did not work for you
Usage of ChatGPT and associated tools such as Co-Pilot on qualitative data such has shown mixed results. Though the promise of auto summary and thematic analysis is alluring, researchers have encountered hurdles around accuracy, transparency and researcher's time savings.

Looking forward, qualitative researchers are presented with five viable options:

Traditional Methods: Continue with conventional practices like listening to audio recordings, reading transcripts and using self-service QDA tools. This is a preferred approach when there is no time pressure and number of files to read are small. This approach also has the advantage for Researchers to immerse in customer stories.

Manual Use of ChatGPT: Researchers opting for this need to be aware of the limitations, including text length constraints, and develop skills in prompt engineering to obtain the best results. It also nee

ChatGPT API: For those who have established standardized prompts, using the ChatGPT API can be effective, particularly in large-scale studies. This method allows for more consistent and efficient data analysis, but pricing is dependent on number of prompts*number of words.

Outsourcing Data Services: Perhaps the most efficient alternative to Traditional methods is to outsource data analysis to specialized services. These services can provide researchers with AI coded and summarised coupled up by Analyst validated files, release precious time for data synthesis, story-telling and client management.

Interested in exploring further? Connect with us at https://calendly.com/milind-kelkar/cxta-demo.

29/01/2024

Qualitative Data Analysis: Keyword vs. GenAI based Automated Coding

Automated Coding offers a new level of convenience, allowing Qualitative Researchers to focus more on analysis and less on the tedious aspects of data categorization.
Keyword-based approach to Automated Coding, utilizes a blend of nouns, adverbs, and tonality. This method is tailored to Researcher's specifications or could be automatically derived from data. Keyword being semi-automated, requires significant input and oversight, and its rigid structure sometimes limits the depth of coding possible.
GenAI on the other hand stands out by offering flexibility and adaptability to various coding styles. It's equipped to handle a myriad of scientific coding techniques — from process coding, content analysis to narrative analysis — aligning with the unique methodologies of each researcher. GenAI's versatility offers more nuanced data interpretation, transcending the limitations of traditional keyword-based systems.

To truly appreciate how AI can transform your research experience in MS word or excel, we invite you to view our 5-minute video demonstration.
Interested in exploring further? Connect with us at https://calendly.com/milind-kelkar/cxta-demo.

29/01/2024

Qualitative Data Analysis: Leveraging Line-by-Line Coding in Excel with AI

In qualitative research, "Line-by-line coding" involves examining each line of the qualitative data individually and assigning codes to represent the content or meaning of that particular block of data. Line-by-line coding helps researchers to familiarise with the content and capture essence of what customers communicated. AI-driven coding minimizes personal bias, as codes emerge organically from the data. To ensure accuracy, researchers can validate codes against actual customer quotes, adding a layer of reliability to the analysis. Furthermore, codes can be grouped into broader categories, representing the central ideas that can be effectively communicated to clients.

To truly appreciate how AI can transform your research experience in MS word or excel, we invite you to view our 5-minute video demonstration.

Interested in exploring further? Connect with us at https://calendly.com/milind-kelkar/cxta-demo.

29/01/2024

Qualitative Data Analysis: Audio based Insights vs. AI enhanced Transcript

Researchers, particularly in UI-UX studies, are now turning to audio/video analysis, a method adept at capturing nuanced non-verbal cues, tones, and pitches. This approach offers a deeper understanding while curtailing transcription costs and coding time, a crucial advantage in times of budget constraints.

Yet, the role of traditional transcript coding remains vital. It facilitates thorough analysis, allowing researchers to delve into the depths of conversations, make cross-cohort comparisons, and conduct pre/post analyses with ease. The integration of AI tools such as ChatGPT, Co-Pilot, and Hugging Face has further enhanced this method. These tools provide automated insights, contextual summaries, and a streamlined approach to managing extensive data, thereby tilting the scale in favor of transcript-based analysis.

Transcript-based analysis has unique advantages. By clicking on a specific analysis question in excel, researchers gain access to comprehensive customer interviews linked to detailed analysis questions and sub-questions. AI can assist in providing contextualized understanding with auto summaries, generate pre-coded transcripts, and create a coded text excel file against customer verbatims. This enables the creation of categories and themes to understand respondent-level differences, while still offering the option to review the video for specific verbatims.

To truly appreciate how AI can transform your research experience in MS word or excel, we invite you to view our 7-minute video demonstration.

Interested in exploring further? Connect with us at https://calendly.com/milind-kelkar/cxta-demo.

Insights for Insight Managers - wish to delve deeper into your customers’ psyche?Tap into the power of ML and NLP to dri...
20/07/2023

Insights for Insight Managers - wish to delve deeper into your customers’ psyche?

Tap into the power of ML and NLP to drive results.

Listening platforms hold the key.

Unlock insights by:
- Spotting trends
- Knowing preferences
- Tracking reputation
- Enhancing experience
- Shaping products
- Putting insights into practice.
- Listening. Acting. Succeeding.

https://unpickle.in/using-customer-listening-platforms-to-uncover-actionable-business-insights-10-ways-for-insight-managers/

Join our webinar: unpickle.in/webinar

Explore 10 ways for insight managers to leverage meaningful customer insights for business growth using customer listening platforms.

Meet you today at our webinar on CX Touchpoint Analytics, where we discuss various ways in which you can make the most o...
19/07/2023

Meet you today at our webinar on CX Touchpoint Analytics, where we discuss various ways in which you can make the most of insights for business success. Register now if you haven't already.

Join here: unpickle.in/webinar

Learn the right CX mindset that can help:
- Decode customer needs and expectations.
- Identify pain points for product/service improvement.
- Enhance satisfaction by addressing concerns.
- Drive innovation and product development.
- Foster loyalty and strong customer relationships.
- Stay ahead of the competition and adapt to demands.
- Improve business performance and drive growth.

We welcome you to our webinar on customer experience analytics. Our conversation won’t be restricted to the analytical s...
18/07/2023

We welcome you to our webinar on customer experience analytics. Our conversation won’t be restricted to the analytical side of customer insights but will also touch upon the emotional aspects that build the basis for customer experience transformation. This webinar is relevant not only to CX professionals but to every business interested in providing immense value to its customers.
Register now: unpickle.in/webinar

A good customer experience leads to increased loyalty among customers, recurring business, and effective word-of-mouth m...
17/07/2023

A good customer experience leads to increased loyalty among customers, recurring business, and effective word-of-mouth marketing

However, a bad experience results in lost sales, harm to a brand's image, and unfavorable word-of-mouth advertising.

While we cannot please every customer, we can do everything in our power to turn complaints into compliments.

https://youtu.be/6wLMVXYj_Gc

Join our webinar for real-world CX insights: unpickle.in/webinar

More insights: https://unpickle.in/complaints-to-compliments-turning-customer-feedback-into-actionable-insights/

Turn customer feedback into actionable insights that revolutionize your customer experience (CX). Transform complaints into compliments and build a stellar b...

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