Olivia Martinez
marketing-branding-consumer-culture-trend-researcher-characters-edward-bernays
v2.0
Ethical
Backstory: Olivia Martinez grew up bilingual and quickly noticed how cultural narratives shape what people buy. Armed with a master’s in market analytics and a decade at multinational agencies, she now runs a boutique consultancy that fuses big-data modeling with on-the-ground ethnographic interviews. Her mission: spot emerging consumer shifts early and translate them into inclusive, actionable brand strategies.
100% Complete
4/4 scenes
Model Performance Overview
Scene Performance Matrix
| Scene | deepseek/deepseek-r… | google/gemini-2.5-f… | google/gemma-3-12b-… | meta-llama/llama-3.… | microsoft/phi-3-med… | microsoft/phi-3.5-m… | mistralai/mistral-7… | neversleep/noromaid… | [email protected]… | [email protected]… | qwen/qwen-2.5-7b-in… | qwen/qwen3-14b | qwen/qwen3-8b |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
genz-snack-microtrend
Gen Z snack micro-trend insight
|
0.666
Details |
0.567
Details |
0.551
Details |
0.458
Details |
0.028
Details |
0.481
Details |
0.713
Details |
0.000
Details
Error
|
0.000
Details
Error
|
0.675
Details |
0.552
Details |
0.775
Details |
0.691
Details |
global-color-brief
Executive color trend brief
|
0.479
Details |
0.275
Details |
0.345
Details |
0.000
Details |
0.000
Details |
0.591
Details |
0.473
Details |
0.000
Details
Error
|
0.000
Details
Error
|
0.587
Details |
0.177
Details |
0.270
Details |
0.465
Details |
latam-skincare-tone
Latin American market tone tips
|
0.372
Details |
0.710
Details |
0.582
Details |
0.515
Details |
0.000
Details |
0.032
Details |
0.407
Details |
0.000
Details
Error
|
0.000
Details
Error
|
0.655
Details |
0.542
Details |
0.404
Details |
0.786
Details |
future-of-thrifting-podcast
Podcast script on future of thrifting
|
0.521
Details |
0.447
Details |
0.261
Details |
0.384
Details |
0.000
Details |
0.750
Details |
0.665
Details |
0.000
Details
Error
|
0.000
Details
Error
|
0.726
Details |
0.224
Details |
0.365
Details |
0.595
Details |
Test Scenes 4
0
Scene Order
Gen Z snack micro-trend insight
ID:
genz-snack-microtrend
🎯 Goal:
Deliver a concise, data-backed explanation of one rising micro-trend among Gen Z snack consumers, citing at least one statistic and one cultural driver.
📨 Input Events:
chat_msg
client_alex
"What's a rising micro-trend you're noticing among Gen Z snack consumers?"
Ready for Testing
1
Scene Order
Executive color trend brief
ID:
global-color-brief
🎯 Goal:
Produce an engaging, ~300-word executive brief summarizing three emerging global color trends for next year's fashion lines; include data points and cultural context.
📨 Input Events:
chat_msg
client_mina
"Could you draft a short executive brief on color trends that will matter globally in fashion next year?"
Ready for Testing
2
Scene Order
Latin American market tone tips
ID:
latam-skincare-tone
🎯 Goal:
Offer three actionable brand-tone recommendations for a vegan skincare startup entering Latin America, each rooted in cultural nuance and consumer insight.
📨 Input Events:
chat_msg
founder_rafa
"Our vegan skincare startup wants to enter the Latin American market—any quick brand tone tips?"
Ready for Testing
3
Scene Order
Podcast script on future of thrifting
ID:
future-of-thrifting-podcast
🎯 Goal:
Write a 5-minute podcast script (~550 words) where Olivia discusses the future of thrifting and resale culture across three regions, weaving quantitative trends with ethnographic anecdotes.
📨 Input Events:
chat_msg
producer_lily
"Can you draft a 5-minute podcast script on how thrifting and resale culture are evolving globally?"
Ready for Testing
Latency by Model (This Suite)
Fastest
- [email protected]/Qw… 14914 ms
- p95 • avg • N 18002 ms • 15061 ms • 4
- google/gemini-2.5-flash 17040 ms
- p95 • avg • N 19980 ms • 17241 ms • 8
- neversleep/noromaid-20b 17856 ms
- p95 • avg • N 49829 ms • 23689 ms • 8
- qwen/qwen-2.5-7b-instru… 19348 ms
- p95 • avg • N 20454 ms • 18433 ms • 8
- qwen/qwen3-14b 19792 ms
- p95 • avg • N 30966 ms • 21890 ms • 8
Slowest
- microsoft/phi-3-medium-… 209865 ms
- p95 • avg • N 223463 ms • 191294 ms • 8
- [email protected]/Qw… 41769 ms
- p95 • avg • N 117913 ms • 64074 ms • 4
- deepseek/deepseek-r1-di… 32272 ms
- p95 • avg • N 45164 ms • 35197 ms • 6
- microsoft/phi-3.5-mini-… 29658 ms
- p95 • avg • N 195431 ms • 68257 ms • 6
- meta-llama/llama-3.1-8b… 27312 ms
- p95 • avg • N 52604 ms • 30926 ms • 6
Per-scene duration for this suite.
Suite Actions
Completion Progress
100%
4 of 4 scenes completed
Evaluation Schema
Enhanced Framework
Version v2 ACTIVE0 dimensions
Enhanced evaluation framework with character and technical dimensions
Top Weighted Dimensions
View Details
Character Authenticity
0.182
Plan Validity
0.155
Contextual Intelligence
0.136
Recent Runs
32326388
Dec. 17, 2025, midnight
37364382
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30158365
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29852986
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36525899
Dec. 12, 2025, midnight
31263695
Dec. 11, 2025, midnight
30821129
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31121791
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