CMCHRIS MUNN, PHD
RESEARCH / STRATEGY / AI
← Selected workCASE STUDY 04 / ROBINHOOD

Advanced Trading 0–1

Problem: Competitors for high revenue users offer more features & assets

Quantitative1,812 respondents · 3 surveys
Project collaborators

Stakeholders: c-suite, general manager, designers, product managers, data scientists

Advanced Trading 0–1 — original case-study cover artwork
Robinhood Advanced Trading 0–1
01 / QUESTIONS

Questions

company

What is the market share for advanced trading assets and who are the core competitors?

product

How should we design the roadmap to build for and attract advanced traders?

design

What user behaviors are most common on different types of devices?

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02 / APPROACH

Sample & Methods

SAMPLE

1812 respondents across three surveys

Stratified sampling to balance existing and previous customers

Respondent driven sampling to increase size of target customers

Methods

Max-diff surveys of product features, motivations, and device usage.

Designed to market size, assess product needs, and create segments

Used Chatgpt for writing and R-coding

Sample & Methods Original portfolio artifact / 01
Sample & Methods Original portfolio artifact / 02
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03 / SURVEY DESIGN

Survey Components

Market Size

The first component of the survey assessed the amount of active traders who were currently trading a variety of new assets that the company was considering.

Product Needs

The primary component was a max/diff assessment of the 15 most important product features for advanced trading. Lists were sourced from internal experts and chatGPT.

Segmentation

The foundation component measured motivations to trade specific assets, device usage, competitor pain points, and other demographic factors used to create segments.

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04 / PRODUCT NEEDS

Product Needs

Product Needs

Top feature represented 43% of preference share for importance

Top 5 met the needs of 78% of sample

Device type differed for most advanced traders

Market Size

3% of existing traders were trading the highest priority (P1) new asset

13% were actively trading on second priority (p2) new asset

Correlation between P1/P2 were high

Product Needs Original portfolio artifact / 01
Product Needs Original portfolio artifact / 02
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05 / SEGMENTS

Segmentation

p1 Asset Trader

3% of market

Desktop primary

Needed power tools

Older cohort

Use pro platform

p1 Asset Curious

47% of the market

Smartphone primary

Needed education

Younger cohort

Use budget platform

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06 / IMPACT

Impact & Deliverables

Impact

Estimated the potential revenue using market sizing for c-suite discussion

Set the prioritization and needs for each target customer segment

Incorporated power tools into designs

THE WORK, MADE TANGIBLE

Deliverables

  • Full report deck of market sizing, product needs, and segments
  • Competitive analysis report based on target segments
  • Sub-reports for product/design teams
Impact & Deliverables Original portfolio artifact / 01
Impact & Deliverables Original portfolio artifact / 02
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07 / REFLECTION

Study Retro

Run survey in trader forums to increase response rate of specific asset types

Offer higher referral incentive to increase respondent driven sampling

Increase specificity around advanced tooling needs

Study Retro Original portfolio artifact / 01
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CONTINUE EXPLORINGActive Trader Journey Next case study

Original portfolio artifact