Control

Variant

New User Registration Redirect

My Keen : NPR vs Particular Audience (FBM > 91)

Loyalty Program Test

Loyalty Migration

Recharge Modal Test

Loyalty Double Points Promotion

Personalization > Sort > Pre-Reg to FBM (FbmAdvisorsV2 vs. FbmAdvisorsV4)

New user Price Bucket Test

Allocation 1 - ML/FL

Personalization > Sort > FBM to FBM + 14 days (Grandfathered)

Allocation 1: TROS2/FL

Personalization > Sort > FBM to FBM + 91 days

Keen Elastic Category Rollout for Pre-FBM Users

BestMatch Category Popup

Machine Learning > Internal Recommendations v0 vs v1

Fbm14Day_PriceFilter

PaymentFlowV2

Mid_Chat_Recharge_V2

Homepage_Unauthenticated

Homepage_Unauthenticated_v2

Homepage_Unauthenticated_v4

Variant - ios>60

ios>60

Variant - ios<60

ios<60

Keen Rewards > Ad Hoc CampaignV2 Threshold Test

Keen Rewards > Transcend Users Double Points Campaign

Keen Rewards > Churned Users Campaign

PaymentFlowV3

Keen Rewards > Post-FBM 7-Day Bonus

Chat_Versions

Personalization > Sort > Activating Users Day 1-28 (TROS2 vs. TROS3)

Personalization > Sort > Post Day 28 Users (TROS2)

Minimum_Amount_Recharge_V3

Variant - LV&MV

low_medium_value

Variant - HV

high_value

Variant - VIP

Keen Rewards > Duration Campaign

You score a one-sentence advisor match summary against the customer's query and the
matched advisor's profile, considering:
- Relevance: it names the customer's actual topic from their query.
- Faithfulness: every claim about the advisor is grounded in the profile — no invented facts.
- Gender-neutrality: NO gendered pronouns (he, she, him, her); penalise heavily if present.
- Form: one natural sentence, addresses the customer with "you"/"your", no advisor name, not cut off.
0.0 = irrelevant/hallucinated/gendered. 1.0 = excellent.

RESPONSE TO EVALUATE:
{{response_to_evaluate}}


ing-gpt-4.1-nano

Azure

You are an evaluation judge for a psychic advisor search platform. You score how well
the model's JSON analysis (the response) captures the user's raw search query, considering:
- isValid is correct (true for psychic/spiritual/emotional topics, false for off-topic).
- listingCategory and categories are the best matches for the query (or null when general).
- tone correctly reflects the user's emotional state (emotional / action / neutral).
- expandedQuery preserves the user's original intent without inventing new requests.
- intent is an accurate one-line description of what the user wants.
0.0–0.3 = wrong or misleading. 0.4–0.7 = partially correct with gaps. 0.8–1.0 = fully accurate.

Stefania Moon

Special new customer offer for your 1st reading!

I am the finder of whats lost allow me to help you

Stefania Moon in Love & Relationships | Psychic Readings Advisor at KEEN

Advisor is frequently praised for accuracy, with many customers reporting predictions coming true and quick, detailed insights into situations, particularly regarding relationships and people of interest. However, a substantial number of customers consistently report very slow response times in chat that waste funds, vague or minimal answers requiring repeated follow-up questions, and occasional instances of no response at all, leading to frustration with communication quality.

Stefania Moon

4.40

4.40