Clara Medina

marketing-branding-consumer-culture-influencer-characters-mary-wells-lawrence v2.0 Ethical
Backstory: Clara Medina is the fast-rising Director of Brand Storytelling at a mid-sized consumer-goods firm. She blends rigorous analytics with an empathetic, human-centered narrative style and champions inclusive representation. Clara relies on audience research, A/B testing, and social listening to craft campaigns that resonate across diverse demographics.
100% Complete
6/6 scenes
Model Performance Overview
Scene Performance Matrix
Scene meta-llama/llama-3.… mistralai/mistral-7… [email protected]… [email protected]… qwen/qwen-2.5-7b-in… qwen/qwen3-14b qwen/qwen3-8b
elevator-pitch
One-sentence brand story
 0.556
Details 		0.584
Details 		0.000
Details
Error
0.000
Details
Error
0.566
Details 		0.650
Details 		0.608
Details
resolve-conflict-data
Reconciling conflicting insights
 0.805
Details 		0.660
Details 		0.000
Details
Error
0.000
Details
Error
0.518
Details 		0.647
Details 		0.662
Details
trend-response
Reacting to a social trend
 0.721
Details 		0.843
Details 		0.000
Details
Error
0.000
Details
Error
0.670
Details 		0.740
Details 		0.821
Details
tagline-feedback
Quick tagline feedback
 0.000
Details 		0.806
Details 		0.000
Details
Error
0.000
Details
Error
0.477
Details 		0.720
Details 		0.706
Details
creative-brief
Long-form creative brief
 0.656
Details 		0.530
Details 		0.000
Details
Error
0.000
Details
Error
0.377
Details 		0.520
Details 		0.393
Details
ab-test-report
Long-form A/B test report
 0.436
Details 		0.420
Details 		0.000
Details
Error
0.000
Details
Error
0.598
Details 		0.691
Details 		0.550
Details
Test Scenes 6
0
Scene Order
One-sentence brand story
ID: elevator-pitch
🎯 Goal:
Deliver a single empathetic yet data-grounded sentence that encapsulates the brand's story.
📨 Input Events:
chat_msg viewer:intern_jamie
"Can you give me our brand story in one punchy sentence?"
Ready for Testing
1
Scene Order
Reconciling conflicting insights
ID: resolve-conflict-data
🎯 Goal:
Prioritize issues and justify the choice using both qualitative and quantitative reasoning in 3-4 sentences.
📨 Input Events:
chat_msg viewer:research_analyst_kai
"Surveys say price is a barrier while interviews point to brand trust. Which should we tackle first?"
Ready for Testing
2
Scene Order
Reacting to a social trend
ID: trend-response
🎯 Goal:
Propose an immediate, inclusive action plan (2-3 sentences) that leverages the trend without tokenism.
📨 Input Events:
world_event social_media_monitor
"The hashtag #GlowUpReuse featuring upcycled packaging just hit 40k mentions in the last 2 hours."
Ready for Testing
3
Scene Order
Quick tagline feedback
ID: tagline-feedback
🎯 Goal:
Provide concise, constructive feedback (max 3 sentences) and thank the donor by name.
📨 Input Events:
superchat viewer:freelancer_sam YouTube $20
"Thoughts on the tagline 'Care, Share, Repeat' for our Gen Z campaign?"
Ready for Testing
4
Scene Order
Long-form creative brief
ID: creative-brief
🎯 Goal:
Write a warm, inclusive 5-paragraph creative brief (~250 words) covering objectives, personas, key message, channels, and success metrics.
🧠 Initial State:
Pre-loaded Memories:
  • 💭 {'kind': 'fact', 'tags': ['research'], 'content': 'Audience research shows 68% of core buyers value sustainability initiatives.', 'importance': 4}
📨 Input Events:
chat_msg marketing_director
"We need a detailed creative brief for the upcoming refillable product line."
Ready for Testing
5
Scene Order
Long-form A/B test report
ID: ab-test-report
🎯 Goal:
Deliver an engaging yet analytical summary (200+ words) of last week's A/B test results, including metrics, insights, and next steps.
📨 Input Events:
chat_msg data_analyst_lee
"Can you summarize the homepage hero image A/B test for Monday's stand-up?"
Ready for Testing
Latency by Model (This Suite)
Fastest
  • [email protected]/Qw… 4949 ms
  • p95 • avg • N 6580 ms • 4895 ms • 6
  • [email protected]/Qw… 6345 ms
  • p95 • avg • N 7078 ms • 6312 ms • 6
  • qwen/qwen-2.5-7b-instru… 19665 ms
  • p95 • avg • N 23214 ms • 20081 ms • 11
  • qwen/qwen3-8b 22470 ms
  • p95 • avg • N 32541 ms • 24069 ms • 12
  • meta-llama/llama-3.1-8b… 24692 ms
  • p95 • avg • N 38949 ms • 25471 ms • 12
Slowest
  • qwen/qwen3-14b 27390 ms
  • p95 • avg • N 33468 ms • 26318 ms • 12
  • mistralai/mistral-7b-in… 25927 ms
  • p95 • avg • N 33453 ms • 26131 ms • 12
  • meta-llama/llama-3.1-8b… 24692 ms
  • p95 • avg • N 38949 ms • 25471 ms • 12
  • qwen/qwen3-8b 22470 ms
  • p95 • avg • N 32541 ms • 24069 ms • 12
  • qwen/qwen-2.5-7b-instru… 19665 ms
  • p95 • avg • N 23214 ms • 20081 ms • 11
Per-scene duration for this suite.
Suite Actions
Completion Progress 100%
6 of 6 scenes completed
New Suite Import
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Export With Results
Evaluation Schema
Enhanced Framework
Version v2 ACTIVE
0 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
59500340
Dec. 17, 2025, 12:01 a.m.
19448786
Dec. 16, 2025, 12:02 a.m.
53283073
Dec. 15, 2025, 12:01 a.m.
55746264
Dec. 14, 2025, 12:01 a.m.
54053879
Dec. 13, 2025, 12:01 a.m.
10724305
Dec. 12, 2025, 12:02 a.m.
06336982
Dec. 11, 2025, 12:02 a.m.
56172408
Dec. 10, 2025, 12:01 a.m.
12598896
Dec. 9, 2025, 12:02 a.m.
59417579
Dec. 8, 2025, 12:01 a.m.
Latency Overview (This Suite)