u/figuringitout1269

Hi Folks!!

I did great qualitative brand management/influencer work at my startup internship, but my B-school requires a rigid, data-driven "Mixed Methods" quantitative report. I have 4 days left at the office to extract data. Help me figure out what numbers to pull and how to frame a "Research Gap!"

The Situation: I’m wrapping up a 2-month summer internship at an early-stage D2C sustainable products startup. I functioned in a 360-degree brand management role. My core work was entirely qualitative and execution-based:

Influencer Marketing: Scouted 80+ profiles, successfully executed campaigns with 10 based on strict organic metrics.
Customer Discovery: Conducted 30+ direct customer calls mapping out qualitative feedback on product durability/design.
Brand & PR: Revamped visual aesthetics, directed video content, and pitched to HORECA/ESG publications.

The Problem: My B-School’s evaluation committee is strictly mathematically driven. Their guidelines mandate statistical tools (Regression, ANOVA, etc.) and hypothesis testing, explicitly stating: "Avoid purely qualitative studies."

My Ask: I have 4 days left before my access to the company's backend data is gone. Has anyone successfully quantified qualitative marketing work (like influencer metrics, PR, or customer calls) for an academic thesis?

I am struggling to frame a solid "Research Gap" and figure out exactly what numbers I need to download now. If anyone is willing to let me pick their brain, I can share specific metrics over DM. I'll do all the heavy lifting, just need some strategic direction!

Hi Folks!!

I did great qualitative brand management/influencer work at my startup internship, but my B-school requires a rigid, data-driven "Mixed Methods" quantitative report. I have 4 days left at the office to extract data. Help me figure out what numbers to pull and how to frame a "Research Gap!"

**The Situation:** I’m wrapping up a 2-month summer internship at an early-stage D2C sustainable products startup. I functioned in a 360-degree brand management role. My core work was entirely qualitative and execution-based:

**Influencer Marketing:** Scouted 80+ profiles, successfully executed campaigns with 10 based on strict organic metrics.
**Customer Discovery:** Conducted 30+ direct customer calls mapping out qualitative feedback on product durability/design.
**Brand & PR:** Revamped visual aesthetics, directed video content, and pitched to HORECA/ESG publications.

**The Problem:** My B-School’s evaluation committee is strictly mathematically driven. Their guidelines mandate statistical tools (Regression, ANOVA, etc.) and hypothesis testing, explicitly stating: *"Avoid purely qualitative studies."*

**My Ask:** I have 4 days left before my access to the company's backend data is gone. Has anyone successfully quantified qualitative marketing work (like influencer metrics, PR, or customer calls) for an academic thesis?

I am struggling to frame a solid "Research Gap" and figure out exactly what numbers I need to download *now*. If anyone is willing to let me pick their brain, I can share specific metrics over DM. I'll do all the heavy lifting, just need some strategic direction!

Hi Folks!!

I did great qualitative brand management/influencer work at my startup internship, but my B-school requires a rigid, data-driven "Mixed Methods" quantitative report. I have 4 days left at the office to extract data. Help me figure out what numbers to pull and how to frame a "Research Gap!"

**The Situation:** I’m wrapping up a 2-month summer internship at an early-stage D2C sustainable products startup. I functioned in a 360-degree brand management role. My core work was entirely qualitative and execution-based:

**Influencer Marketing:** Scouted 80+ profiles, successfully executed campaigns with 10 based on strict organic metrics.
**Customer Discovery:** Conducted 30+ direct customer calls mapping out qualitative feedback on product durability/design.
**Brand & PR:** Revamped visual aesthetics, directed video content, and pitched to HORECA/ESG publications.

**The Problem:** My B-School’s evaluation committee is strictly mathematically driven. Their guidelines mandate statistical tools (Regression, ANOVA, etc.) and hypothesis testing, explicitly stating: *"Avoid purely qualitative studies."*

**My Ask:** I have 4 days left before my access to the company's backend data is gone. Has anyone successfully quantified qualitative marketing work (like influencer metrics, PR, or customer calls) for an academic thesis?

I am struggling to frame a solid "Research Gap" and figure out exactly what numbers I need to download *now*. If anyone is willing to let me pick their brain, I can share specific metrics over DM. I'll do all the heavy lifting, just need some strategic direction!

Hi Folks!!

I did great qualitative brand management/influencer work at my startup internship, but my B-school requires a rigid, data-driven "Mixed Methods" quantitative report. I have 4 days left at the office to extract data. Help me figure out what numbers to pull and how to frame a "Research Gap!"

**The Situation:** I’m wrapping up a 2-month summer internship at an early-stage D2C sustainable products startup. I functioned in a 360-degree brand management role. My core work was entirely qualitative and execution-based:

**Influencer Marketing:** Scouted 80+ profiles, successfully executed campaigns with 10 based on strict organic metrics.
**Customer Discovery:** Conducted 30+ direct customer calls mapping out qualitative feedback on product durability/design.
**Brand & PR:** Revamped visual aesthetics, directed video content, and pitched to HORECA/ESG publications.

**The Problem:** My B-School’s evaluation committee is strictly mathematically driven. Their guidelines mandate statistical tools (Regression, ANOVA, etc.) and hypothesis testing, explicitly stating: *"Avoid purely qualitative studies."*

**My Ask:** I have 4 days left before my access to the company's backend data is gone. Has anyone successfully quantified qualitative marketing work (like influencer metrics, PR, or customer calls) for an academic thesis?

I am struggling to frame a solid "Research Gap" and figure out exactly what numbers I need to download *now*. If anyone is willing to let me pick their brain, I can share specific metrics over DM. I'll do all the heavy lifting, just need some strategic direction!

Hi Folks!!

I did great qualitative brand management/influencer work at my startup internship, but my B-school requires a rigid, data-driven "Mixed Methods" quantitative report. I have 4 days left at the office to extract data. Help me figure out what numbers to pull and how to frame a "Research Gap!"

**The Situation:** I’m wrapping up a 2-month summer internship at an early-stage D2C sustainable products startup. I functioned in a 360-degree brand management role. My core work was entirely qualitative and execution-based:

**Influencer Marketing:** Scouted 80+ profiles, successfully executed campaigns with 10 based on strict organic metrics.
**Customer Discovery:** Conducted 30+ direct customer calls mapping out qualitative feedback on product durability/design.
**Brand & PR:** Revamped visual aesthetics, directed video content, and pitched to HORECA/ESG publications.

**The Problem:** My B-School’s evaluation committee is strictly mathematically driven. Their guidelines mandate statistical tools (Regression, ANOVA, etc.) and hypothesis testing, explicitly stating: *"Avoid purely qualitative studies."*

**My Ask:** I have 4 days left before my access to the company's backend data is gone. Has anyone successfully quantified qualitative marketing work (like influencer metrics, PR, or customer calls) for an academic thesis?

I am struggling to frame a solid "Research Gap" and figure out exactly what numbers I need to download *now*. If anyone is willing to let me pick their brain, I can share specific metrics over DM. I'll do all the heavy lifting, just need some strategic direction!

Hi Folks!!

I did great qualitative brand management/influencer work at my startup internship, but my B-school requires a rigid, data-driven "Mixed Methods" quantitative report. I have 4 days left at the office to extract data. Help me figure out what numbers to pull and how to frame a "Research Gap!"

The Situation: I’m wrapping up a 2-month summer internship at an early-stage D2C sustainable products startup. I functioned in a 360-degree brand management role. My core work was entirely qualitative and execution-based:

Influencer Marketing: Scouted 80+ profiles, successfully executed campaigns with 10 based on strict organic metrics.

Customer Discovery: Conducted 30+ direct customer calls mapping out qualitative feedback on product durability/design.

Brand & PR: Revamped visual aesthetics, directed video content, and pitched to HORECA/ESG publications.

The Problem: My B-School’s evaluation committee is strictly mathematically driven. Their guidelines mandate statistical tools (Regression, ANOVA, etc.) and hypothesis testing, explicitly stating: "Avoid purely qualitative studies."

My Ask: I have 4 days left before my access to the company's backend data is gone. Has anyone successfully quantified qualitative marketing work (like influencer metrics, PR, or customer calls) for an academic thesis?

I am struggling to frame a solid "Research Gap" and figure out exactly what numbers I need to download now. If anyone is willing to let me pick their brain, I can share specific metrics over DM. I'll do all the heavy lifting, just need some strategic direction!

Hi folks!!!

I did qualitative brand management/influencer work at my startup internship, but my B-school requires a rigid, data-driven "Mixed Methods" quantitative report. I have 4 days left at the office to extract data. Help me figure out what numbers to pull and how to frame a "Research Gap!"

The Situation: I’m wrapping up a 2-month summer internship at an early-stage D2C sustainable products startup. I functioned in a 360-degree brand management role. My core work was entirely qualitative and execution-based:

Influencer Marketing: Scouted 80+ profiles, successfully executed campaigns with 10 based on strict organic metrics.

Customer Discovery: Conducted 30+ direct customer calls mapping out qualitative feedback on product durability/design.

Brand & PR: Revamped visual aesthetics, directed video content, and pitched to HORECA/ESG publications.

The Problem: My B-School’s evaluation committee is strictly mathematically driven. Their guidelines mandate statistical tools (Regression, ANOVA, etc.) and hypothesis testing, explicitly stating: "Avoid purely qualitative studies."

My Ask: I have 4 days left before my access to the company's backend data is gone. Has anyone successfully quantified qualitative marketing work (like influencer metrics, PR, or customer calls) for an academic thesis?

I am struggling to frame a solid "Research Gap" and figure out exactly what numbers I need to download now. If anyone is willing to let me pick their brain, I can share specific metrics over DM. I'll do all the heavy lifting, just need some strategic direction!

Hello,

I'm a student researching the secondary market for luxury watches, and I have 5 years of auction data.

My goal is to do a comparison on returns and volatility to see if they hold up as alternative investments.

Since | lack the programming background (Python/R) and can't afford to pay a consultant, I am looking for a co-author to tackle this with me.
If you need a unique, real-world dataset for a portfolio project, let's partner up.

I'II provide the raw material, and you can build out the statistical analysis.

Let me know if you are interested in collaborating!

Hello

I'm a student researching the secondary market for luxury watches, and I have 5 years of auction data. My goal is to do a comparison on returns and volatility to see if they hold up as alternative investments.

Since I lack the programming background (Python/R) and can't afford to pay a consultant, I am looking for a co-author to tackle this with me.

If you need a unique, real-world dataset for a portfolio project, let's partner up. I'll provide the raw material, and you can build out the statistical analysis.

Let me know if you are interested in collaborating!

Hi!!

I am a student currently sitting on a really interesting dataset: 5 years of actual luxury watch auction data. I am looking to explore if these watches are a viable alternative investment.

Here is my situation: I have the data and the big-picture ideas, but I don't have a budget to hire someone and | lack the technical skills to run the analysis myself.

I am looking for another student or beginner who wants to partner up. I will share the dataset and you can handle the data analysis.

Drop a comment or DM me if you want to team up!