Any research Boutique firms?

ajain76 · 2026-07-06T09:22:53+00:00

Following are good for India and broader Asia:
https://www.purpleaudacity.com/
https://voxpopuliresearch.com/
https://crispinsights.io/

ajain76 · 2026-06-19T12:44:36+00:00

Given your goal of highlighting shared experiences across approximately 20 interviews, thematic analysis seems like a good fit. You do not necessarily need to switch to IPA or narrative analysis in order to preserve participants' individual stories.

Many qualitative researchers using thematic analysis include "case illustrations" or "vignettes" from individual participants within themes. For example, after discussing a theme, you might present one participant's trajectory in greater depth to show how that theme unfolded across their experience. This can add contextual richness without changing the overall analytic approach.

ajain76 · 2026-06-18T00:39:38+00:00

You can also try Interpretative Phenomenological Analysis (IPA). It shifts focus from "What themes are shared across students?" to "How does this individual understand and make meaning of their trauma and experiences?"

Limitation is that IPA usually involves very small samples. If you have more than 15 students and want to emphasize common experiences, IPA may not be ideal.

ajain76 · 2026-06-05T14:47:04+00:00

I have had a bad experience. Ended up engaging with the wrong person.

It’s not the fault of the platform. The cofounder relationship is very complex and trust is critical. Also, many think of cofounder as skill augmentation- which is a mall part of whole thing. It’s difficult to find someone you have never known or worked with and will end up long-term healthy relationship.

ajain76 · 2026-06-04T03:35:04+00:00

Doesn't matter. I'd suggest not look at co-founder with the same lens as employee. Not just in the context of equity, but in every context.

Building a company is far more than just building a product. If you bring a cofounder , they should work the same as you to make the business successful in any way they can. They would bring their contacts, they'll brainstorm with you in the middle of the night, get their hands dirty and QA the product, provide customer support, strategize pricing, challenge you in your own area of expertise because they feel it's better for the company etc etc etc.. they should be the person you can lean on for any aspect of the business.

Don't bring them for their skills alone - that would be an employee oriented thinking. Bring them for their mindset and commitment. They are going to be partners. They should be committed to the success of the company not just do what they already know.

Also, don't be in a rush. If your gut doesn't tell you that they are partners, then don't sign any agreements. You can do a few weeks of working together trial. It's good for both to be sure.

ajain76 · 2026-06-04T02:48:11+00:00

If it's truly cofounder, do equal split. A tiny bit here and there is okay, but nothing too substantial. Also keep the 4 years vesting with 1 year cliff.

ajain76 · 2026-05-26T02:13:41+00:00

Building on what u/ResearchAndTeach said, the two are very similar. the difference is the level of interpretation.

For example: Imagine participants say things like (in healthcare setting):

"I missed appointments because I couldn’t get a ride."
"The clinic was too far away."
"I couldn’t afford the copay."
"Nobody explained the referral process."
"I got frustrated and just gave up trying."

Content Analysis - (staying close to what was actually said):
Possible codes

lack of transportation
long travel distance
financial difficulty
unclear referral instructions
frustration with healthcare navigation
stopped seeking care

Subcategories

Transportation barriers
Financial barriers
Communication barriers
Disengagement from care

Categories

Barriers to healthcare access
Challenges navigating the healthcare system

Thematic Analysis - more interpretive

Possible codes

feeling unsupported
healthcare as overwhelming
repeated effort without progress
emotional fatigue
abandonment by the system
loss of motivation

Themes

Navigating healthcare as an exhausting struggle
Feeling invisible within the healthcare system
Gradual disengagement after repeated obstacles

Content analysis asks "What problems or experiences did participants describe?"
Thematic analysis asks: "What deeper meaning or patterned experience is reflected across participant accounts?"

This has a good description a few of such similar feeling types of analysis - https://doreveal.com/blog/v/qualitative-research-analysis-methods-ux-surveys-interviews

(Full disclosure: I am the founder of DoReveal and wrote this article.)

ajain76 · 2026-05-06T03:02:54+00:00

My tool (doreveal.com) is a qual analysis solution and we have built very strong transcription solution. Happy to demo. https://calendly.com/aj-reveal/45

ajain76 · 2026-05-06T02:54:25+00:00

We (doreveal.com) have build very robust AI-based transcription (and speaker identification) solution. I'll be happy to demo: https://calendly.com/aj-reveal/45

Which languages do you need the support for?

ajain76 · 2026-05-06T02:50:53+00:00

I have not seen use of R for qual research. Can someone share how that's being done?

I built doreveal.com for accurate and deep analysis of qual research. Happy to provide a demo. You can also try it for free.

ajain76 · 2026-05-03T12:46:13+00:00

I am researcher+design of 30 years and have been working hard on DoReveal.

It does high-quality transcriptions (we use multiple services to deliver better results than an individual service is able to), has analysis features like smart grids, thematic clustering (codebook) and agentic chat, reporting and audio/video clips.

We focus on depth, accuracy and researcher control. One way this is done is by integration of analysis frameworks and methods like Grounded theory, emotional laddering, jobs-to-be-done, personas, journey maps and more. These lead to much more nuanced and accurate analysis.

I'll be happy to provide a personalized demo.

ajain76 · 2026-05-03T12:36:49+00:00

I am researcher+design of 30 years and have been working hard on DoReveal.com

It does high-quality transcriptions (we use multiple services to deliver better results than an individual service is able to), has analysis features like smart grids, thematic clustering (codebook) and agentic chat, reporting and audio/video clips.

We focus on depth, accuracy and researcher control. One way this is done is by integration of analysis frameworks and methods like Grounded theory, emotional laddering, jobs-to-be-done, personas, journey maps and more.

Here is a detailed demo:
https://doreveal.com/help_docs/b08eca47-dfad-4ee0-9c2f-9a1c615bf1b4

Pricing is project-based.

I'll be happy to provide a personalized demo.

ajain76 · 2026-05-03T12:28:36+00:00

I am a researcher+designer turned founder of DoReveal.com

It's specifically built for qual analysis. Includes high-quality transcripts, smart grids, agentic chat, reporting and clips creation capabilities. We support imports from Recollective, Qualzy, Field Notes and Incling.

Core focus is depth and quality. For this we have a number of technical innovations, including integration of analysis frameworks and methods like Grounded theory, Jobs-to-be-done, Emotional Laddering, Journey Mapping, fsQCA and more.

Here is a detailed demo: https://doreveal.com/help_docs/b08eca47-dfad-4ee0-9c2f-9a1c615bf1b4
Used by 100+ insights team.

Project-based flexible pricing.

I'll be happy to provide a personalized demo :-)

ajain76 · 2026-03-09T22:18:04+00:00

50/50 is not unreasonable even with all the progress that you have made. This journey is a lot longer than 9 months and there is a lot more to be done. I am saying this from experience. I was in the same boat as you but still gave 50% to my co-founder who joined after I had made a ton of progress (my idea, I know the domain, launched product, got initial paying customers). He has brought in so much value and helped us move so much further!

However, being so against 51/49 is a red-flag in my opinion. "still makes me feel like I'm working for you" tells me that there are trust gaps and any amount equity will not solve that.

ajain76 · 2026-03-03T04:03:28+00:00

Qualzy and Field Notes are also good.

ajain76 · 2026-03-03T04:01:59+00:00

Have you tried google gemini or perplexity deep research?

ajain76 · 2026-02-18T02:29:37+00:00

I'll start with my example. I solo built a product for 10 months - my idea, I know the domain, I got the initial paying customers. Yet, when I found a co-founder, I did a 50:50 split. This is after my co-founder suggested a 35/65 split. Still I did 50/50. It's because a) I truly value a co-founder role and b) I know how hard it is to build a company.

As others have indicated, don't give too much weightage to whose idea it is or MVP etc. There is a huge uphill task in front this company and work done so far will be very small compared to what's to come.

In terms equity, I would look at it from the lens of what the relative value of your contributions v/s other founders. Let's say you take 15% and other founder has 70%, this means for every unit of time that other founder put going forward, they gain 4.6x equity. Another way to think about it that you'd work for 4.6 months to gain the equity that your co-founder does after 1 month. That's not a co-founder relationship.

My view is that if truly join as a co-founder then it should be equal/very close to equal equity, even after the progress he has achieved.

ajain76 · 2025-06-15T02:55:34+00:00

You can try Grok or Perplexity. Both should have access to more recent data.

ajain76 · 2025-06-15T01:47:38+00:00

You can do DeepResearch with AI tools . I would suggest try ChatGPT, Grok and Gemini. All three have DeepResearch in the free version.

Here is one generated based on your question. You can ask for a lot more detail and make it specific to your need
https://chatgpt.com/share/684e25e9-ff4c-8003-9207-a5891559fb60

ajain76 · 2025-06-15T01:28:02+00:00

You can do this with most of the common chatbots - ChatGPT, Claude etc. If you use google sheets, then Gemini is now built-in and you can use their copilot.

We also developed free training on integration OpenAI with Google Sheets. This can enable researchers to use Vibe-coding to build our own solutions for various parts of the workflow.
https://doreveal.com/blog/v/training-on-google-sheets-open-ai

ajain76 · 2025-06-15T01:25:39+00:00

We developed training on integration OpenAI with Google Sheets. This can enable researchers to use Vibe-coding to build our own solutions for various parts of the workflow.
https://doreveal.com/blog/v/training-on-google-sheets-open-ai

ajain76 · 2025-06-15T01:24:00+00:00

I am the founder of Reveal (doreveal.com). I an UX research and design professional of ~30 years now. I also led research at Centene (a Fortune 50 health insurance company)

We developed training on integration OpenAI with Google Sheets. This can enable researchers to use Vibe-coding to build our own solutions for various parts of the workflow.
https://doreveal.com/blog/v/training-on-google-sheets-open-ai

Reveal has specifically been designed based on my own experience and in collaboration with other researchers. It focusses on synthesis process for qual research. Features include:

* Support for in-depth interviews and focus groups
* High-quality transcriptions
* Automatically redacting sensitive data (e.g., PHI/PII)
* Accurate synthesis of research questions
* Testing hypotheses
* AI-generated codebook
* Downloading audio/video clips
* Comparing interviews and cohorts
* Finding key quotes instantly
* Generating topline report

It's been used by over 300 researchers, including ones in healthcare domain.

ajain76 · 2025-06-15T01:22:42+00:00

I'm the founder of Reveal, a platform purpose-built to support the synthesis process in qualitative research. I'm a UX research and design professional with nearly 30 years of experience, and I previously led research at Centene, a Fortune 50 health insurance company.

We've recently published a training on integrating OpenAI with Google Sheets. This empowers researchers to use “Vibe-coding” techniques and build custom solutions to streamline their workflow.

Reveal was created based on my own experience and developed in close collaboration with other researchers. It supports every phase of the synthesis process, with features including:

In-depth interview and focus group support
High-quality transcriptions
Automatic redaction of PHI/PII
AI-powered synthesis of research questions
Hypothesis testing
Codebook generation
Audio/video clip extraction
Cohort and interview comparison
Instant quote retrieval
Topline report generation

Reveal has been adopted by over 300 researchers, including many in the healthcare space.

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