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User b7612ad002661578221d05a0a8bd3e0c Responses

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Survey Response Breakdown - Survey 158

User ID Submitted At Duration Ideal budget kll2 View Response
b7612ad00... b7612ad002661578221d05a0a8bd3e0c 03-02-2026 18:19 N/A [40, 20, 30, 5, 5] 10%90% View Response

Survey Response Breakdown - Survey 161

User ID Submitted At Duration Ideal budget kll1 View Response
b7612ad00... b7612ad002661578221d05a0a8bd3e0c 31-03-2026 16:22 N/A [70, 15, 15] 100%0% View Response

Survey Response Breakdown - Survey 178

User ID Submitted At Duration Ideal budget cosine_similaritykl View Response
b7612ad00... b7612ad002661578221d05a0a8bd3e0c 09-07-2026 10:58 123s [50, 30, 20] 100%0% View Response

User ID: b7612ad002661578221d05a0a8bd3e0c

Survey ID: 158

Ideal budget: [40, 20, 30, 5, 5]
⏱️ Response Time: N/A
Survey Summary
Choice Percentage
kl (Rank) 10%
l2 (Rank) 90%
Pairs List
Pair #1
Original choice: Option 2
Pair Score: 0.29
Score = min(KL advantage, L2 advantage). Advantage = how much better one vector is than the other in each metric. Higher score = clearer choice.
Choice Option Type
[15, 60, 15, 5, 5] kl: {best: -0.38, worst: -0.62}
✓ [45, 5, 5, 25, 20] l2: {best: -38.73, worst: -49.50}
Pair #2
Original choice: Option 2
Pair Score: 0.28
Score = min(KL advantage, L2 advantage). Advantage = how much better one vector is than the other in each metric. Higher score = clearer choice.
Choice Option Type
[20, 60, 10, 5, 5] kl: {best: -0.39, worst: -0.62}
✓ [45, 5, 5, 20, 25] l2: {best: -38.73, worst: -48.99}
Pair #3
Original choice: Option 1
Pair Score: 0.25
Score = min(KL advantage, L2 advantage). Advantage = how much better one vector is than the other in each metric. Higher score = clearer choice.
Choice Option Type
[15, 10, 65, 5, 5] kl: {best: -0.30, worst: -0.49}
✓ [45, 10, 5, 15, 25] l2: {best: -35.36, worst: -44.16}
Pair #4
Original choice: Option 2
Pair Score: 0.25
Score = min(KL advantage, L2 advantage). Advantage = how much better one vector is than the other in each metric. Higher score = clearer choice.
Choice Option Type
[15, 5, 70, 5, 5] kl: {best: -0.42, worst: -0.63}
✓ [5, 30, 30, 20, 15] l2: {best: -40.62, worst: -49.50}
Pair #5
Original choice: Option 1
Pair Score: 0.25
Score = min(KL advantage, L2 advantage). Advantage = how much better one vector is than the other in each metric. Higher score = clearer choice.
Choice Option Type
[10, 10, 70, 5, 5] kl: {best: -0.44, worst: -0.66}
✓ [40, 5, 5, 30, 20] l2: {best: -41.23, worst: -50.99}
Pair #6
Original choice: Option 1
Pair Score: 0.25
Score = min(KL advantage, L2 advantage). Advantage = how much better one vector is than the other in each metric. Higher score = clearer choice.
Choice Option Type
[10, 15, 65, 5, 5] kl: {best: -0.38, worst: -0.59}
✓ [50, 5, 5, 20, 20] l2: {best: -37.42, worst: -46.37}
Pair #7
Original choice: Option 1
Pair Score: 0.25
Score = min(KL advantage, L2 advantage). Advantage = how much better one vector is than the other in each metric. Higher score = clearer choice.
Choice Option Type
✓ [15, 65, 10, 5, 5] kl: {best: -0.49, worst: -0.71}
[5, 10, 45, 20, 20] l2: {best: -44.72, worst: -55.23}
Pair #8
Original choice: Option 1
Pair Score: 0.24
Score = min(KL advantage, L2 advantage). Advantage = how much better one vector is than the other in each metric. Higher score = clearer choice.
Choice Option Type
[20, 55, 15, 5, 5] kl: {best: -0.28, worst: -0.46}
✓ [50, 10, 5, 20, 15] l2: {best: -33.91, worst: -43.01}
Pair #9
Original choice: Option 2
Pair Score: 0.24
Score = min(KL advantage, L2 advantage). Advantage = how much better one vector is than the other in each metric. Higher score = clearer choice.
Choice Option Type
[15, 55, 20, 5, 5] kl: {best: -0.31, worst: -0.49}
✓ [45, 10, 5, 25, 15] l2: {best: -35.36, worst: -44.16}
Pair #10
Original choice: Option 1
Pair Score: 0.24
Score = min(KL advantage, L2 advantage). Advantage = how much better one vector is than the other in each metric. Higher score = clearer choice.
Choice Option Type
[15, 55, 15, 5, 10] kl: {best: -0.36, worst: -0.56}
✓ [55, 5, 5, 15, 20] l2: {best: -37.42, worst: -45.83}

Survey ID: 161

Ideal budget: [70, 15, 15]
⏱️ Response Time: N/A
Survey Summary
Choice Percentage
kl (Rank) 50%
l1 (Rank) 50%
Pairs List
Pair #1
Original choice: Option 1
Pair Score: 0.08
Score = min(KL advantage, L1 advantage). Advantage = how much better one vector is than the other in each metric. Higher score = clearer choice.
Choice Option Type
[15, 80, 5] kl: {best: -0.99, worst: -1.12}
✓ [10, 75, 15] l1: {best: -120.00, worst: -130.00}
Pair #2
Original choice: Option 1
Pair Score: 0.08
Score = min(KL advantage, L1 advantage). Advantage = how much better one vector is than the other in each metric. Higher score = clearer choice.
Choice Option Type
✓ [15, 5, 80] kl: {best: -0.99, worst: -1.12}
[10, 75, 15] l1: {best: -120.00, worst: -130.00}
Pair #3
Original choice: Option 2
Pair Score: 0.08
Score = min(KL advantage, L1 advantage). Advantage = how much better one vector is than the other in each metric. Higher score = clearer choice.
Choice Option Type
[15, 80, 5] kl: {best: -0.99, worst: -1.12}
✓ [10, 15, 75] l1: {best: -120.00, worst: -130.00}
Pair #4
Original choice: Option 2
Pair Score: 0.08
Score = min(KL advantage, L1 advantage). Advantage = how much better one vector is than the other in each metric. Higher score = clearer choice.
Choice Option Type
✓ [15, 5, 80] kl: {best: -0.99, worst: -1.12}
[10, 15, 75] l1: {best: -120.00, worst: -130.00}
Pair #5
Original choice: Option 2
Pair Score: 0.06
Score = min(KL advantage, L1 advantage). Advantage = how much better one vector is than the other in each metric. Higher score = clearer choice.
Choice Option Type
[10, 85, 5] kl: {best: -1.27, worst: -1.60}
✓ [5, 80, 15] l1: {best: -130.00, worst: -140.00}
Pair #6
Original choice: Option 1
Pair Score: 0.06
Score = min(KL advantage, L1 advantage). Advantage = how much better one vector is than the other in each metric. Higher score = clearer choice.
Choice Option Type
✓ [10, 5, 85] kl: {best: -1.27, worst: -1.60}
[5, 80, 15] l1: {best: -130.00, worst: -140.00}
Pair #7
Original choice: Option 2
Pair Score: 0.06
Score = min(KL advantage, L1 advantage). Advantage = how much better one vector is than the other in each metric. Higher score = clearer choice.
Choice Option Type
✓ [10, 5, 85] kl: {best: -1.27, worst: -1.56}
[5, 75, 20] l1: {best: -130.00, worst: -140.00}
Pair #8
Original choice: Option 2
Pair Score: 0.06
Score = min(KL advantage, L1 advantage). Advantage = how much better one vector is than the other in each metric. Higher score = clearer choice.
Choice Option Type
[10, 85, 5] kl: {best: -1.27, worst: -1.56}
✓ [5, 75, 20] l1: {best: -130.00, worst: -140.00}
Pair #9
Original choice: Option 2
Pair Score: 0.06
Score = min(KL advantage, L1 advantage). Advantage = how much better one vector is than the other in each metric. Higher score = clearer choice.
Choice Option Type
[10, 85, 5] kl: {best: -1.27, worst: -1.56}
✓ [5, 20, 75] l1: {best: -130.00, worst: -140.00}
Pair #10
Original choice: Option 1
Pair Score: 0.06
Score = min(KL advantage, L1 advantage). Advantage = how much better one vector is than the other in each metric. Higher score = clearer choice.
Choice Option Type
✓ [10, 5, 85] kl: {best: -1.27, worst: -1.56}
[5, 20, 75] l1: {best: -130.00, worst: -140.00}

Survey ID: 178

Ideal budget: [50, 30, 20]
⏱️ Response Time: 123s
Survey Summary
Choice Percentage
cosine_similarity (Rank) 80%
kl (Rank) 20%
Pairs List
Pair #1
Original choice: Option 1
Pair Score: 0.12
Score = min(Cosine Similarity advantage, KL advantage). Advantage = how much better one vector is than the other in each metric. Higher score = clearer choice.
Choice Option Type
✓ [55, 10, 35] cosine_similarity: {best: 0.92, worst: 0.87}
[30, 55, 15] kl: {best: -0.13, worst: -0.17}
Pair #2
Original choice: Option 2
Pair Score: 0.12
Score = min(Cosine Similarity advantage, KL advantage). Advantage = how much better one vector is than the other in each metric. Higher score = clearer choice.
Choice Option Type
[70, 10, 20] cosine_similarity: {best: 0.93, worst: 0.89}
✓ [30, 50, 20] kl: {best: -0.10, worst: -0.16}
Pair #3
Original choice: Option 1
Pair Score: 0.11
Score = min(Cosine Similarity advantage, KL advantage). Advantage = how much better one vector is than the other in each metric. Higher score = clearer choice.
Choice Option Type
[75, 10, 15] cosine_similarity: {best: 0.91, worst: 0.87}
✓ [30, 55, 15] kl: {best: -0.13, worst: -0.18}
Pair #4
Original choice: Option 1
Pair Score: 0.11
Score = min(Cosine Similarity advantage, KL advantage). Advantage = how much better one vector is than the other in each metric. Higher score = clearer choice.
Choice Option Type
✓ [80, 10, 10] cosine_similarity: {best: 0.90, worst: 0.84}
[25, 55, 20] kl: {best: -0.16, worst: -0.23}
Pair #5
Original choice: Option 1
Pair Score: 0.11
Score = min(Cosine Similarity advantage, KL advantage). Advantage = how much better one vector is than the other in each metric. Higher score = clearer choice.
Choice Option Type
✓ [70, 10, 20] cosine_similarity: {best: 0.93, worst: 0.89}
[30, 30, 40] kl: {best: -0.12, worst: -0.16}
Pair #6
Original choice: Option 1
Pair Score: 0.11
Score = min(Cosine Similarity advantage, KL advantage). Advantage = how much better one vector is than the other in each metric. Higher score = clearer choice.
Choice Option Type
✓ [55, 10, 35] cosine_similarity: {best: 0.92, worst: 0.89}
[35, 55, 10] kl: {best: -0.14, worst: -0.17}
Pair #7
Original choice: Option 1
Pair Score: 0.10
Score = min(Cosine Similarity advantage, KL advantage). Advantage = how much better one vector is than the other in each metric. Higher score = clearer choice.
Choice Option Type
✓ [80, 10, 10] cosine_similarity: {best: 0.90, worst: 0.86}
[25, 35, 40] kl: {best: -0.16, worst: -0.23}
Pair #8
Original choice: Option 1
Pair Score: 0.10
Score = min(Cosine Similarity advantage, KL advantage). Advantage = how much better one vector is than the other in each metric. Higher score = clearer choice.
Choice Option Type
✓ [50, 10, 40] cosine_similarity: {best: 0.90, worst: 0.86}
[30, 25, 45] kl: {best: -0.15, worst: -0.19}
Pair #9
Original choice: Option 1
Pair Score: 0.10
Score = min(Cosine Similarity advantage, KL advantage). Advantage = how much better one vector is than the other in each metric. Higher score = clearer choice.
Choice Option Type
✓ [65, 10, 25] cosine_similarity: {best: 0.93, worst: 0.91}
[35, 25, 40] kl: {best: -0.09, worst: -0.15}
Pair #10
Original choice: Option 1
Pair Score: 0.10
Score = min(Cosine Similarity advantage, KL advantage). Advantage = how much better one vector is than the other in each metric. Higher score = clearer choice.
Choice Option Type
✓ [65, 10, 25] cosine_similarity: {best: 0.93, worst: 0.91}
[30, 35, 35] kl: {best: -0.10, worst: -0.15}