Session Analytics — UC2 · Beauty Concept Test

Avg Quality Score

7.17/10

across 6 questions

Purchase Intent

7/10

KPI · extracted scale response

Avg Engagement

96%

attention + eye contact · 38 windows

Price Verdict

Too Expensive

price question · score 5.5

90.7%

Physio Quality Avg

19.6s

Avg Response Latency

36.2

Avg Words / Answer

Total Filler Words

Session Phase Flow

367s Total

Opening

Screening

Warming

Core

Closing

-7s24s56s87s320s367s

● Opening (-7–22s)● Screening (24–53s)● Warming (56–85s)● Core (87–318s)● Closing (320–343s)

Emotional Arc

38 windows · 10s each

Happy Neutral Sad/Focused Angry Fearful

-7s · Open24s · Screen56s · WarmQ1 (139s)Q2 (186s)Q3 (213s)Q4 Price (246s)Q5 (279s)Q6 (319s)320s · Close

😊 Happy (-39–67s + 147–167s + 277–337s)

Positive affect — genuine enthusiasm or warmth. High-confidence windows correlate with concept excitement.

😐 Neutral (77–97s + 177–267s + 347–347s)

Evaluative focus — thoughtful, analytical listening. Dominant in Q&A phases; indicates engaged deliberation.

😶 Sad (107–137s)

Likely deep concentration during concept read-out.

Question Performance Matrix

Avg 7.17 / 10

7.0

GOOD

first_impressionconcept_awarenessopen_ended

"After describing it, ask: What's your very first reaction to that?"

Really excited to have a product which is having all the three things together. Because that will cut down my morning routine time, which is really good. And I'm looking forward for it.

Latency 35.1s33 words0 fillersPulse +10.1 ΔbaselineEngage 0.992

Depth

7.0

Specificity

7.0

7.5

STRONG

routine_complexitypain_pointsopen_ended

"Right now, how many steps does your morning face routine take — and honestly, what's the most annoying part of it?"

Usually take five to six steps which is the most annoying part because you have to do face wash, then you have to use face scrub, then moisturizer, then sun cream, and then foundations. And that's really take lot of time. And specifically when you are going here and there, you always in a rush. And take lot of time

Latency 17.6s60 words0 fillersPulse +21.3 ΔbaselineEngage 0.979

Depth

8.0

Specificity

7.0

8.0

BEST

purchase_intentKPIscale

"On a scale of 1 to 10, how likely are you to buy Glow Shield if you saw it at Nykaa?"

I will definitely buy it and I will rate it as number seven.

Latency 17.4s13 words0 fillersPulse +7.8 ΔbaselineEngage 0.979

Score

/ 10

5.5

WEAK

pricingprice_sensitivityopen_ended

"At ₹799 for 30ml, does that feel fair, too expensive, or a great deal?"

चीज बहुत ही महंगा है। सात सौ निन्यानवे रुपये फॉर जस्ट स्मॉल बॉटल ऑफ थर्टी एमएल। आई थिंक हमें ना इसको सस्ता करना चाहिए।

Latency 13.3s24 words0 fillersPulse +11.7 ΔbaselineEngage 0.940

Verdict

Too Expensive

Composite

5.5

7.5

STRONG

shade_trustcategory_concernopen_ended

"One thing many women worry about with tinted products is — will the shade match my skin tone? How would you feel about that with Glow Shield?"

अभी एक बहुत बड़ा वो है कि क्या मेरी स्कीम के साथ ये वाला स्किन टोन मैच करेगा नहीं करेगा? मैंने बहुत सारे प्रोडक्ट ट्राई किए। जैसे लॉरियल के। उनके कभी भी मैच ही नहीं होते। आप कैसे एंश्योर करोगे कि ये मैच हो जाए?

Latency 14.2s45 words0 fillersPulse +18.2 ΔbaselineEngage 0.929

Depth

8.0

Specificity

7.0

7.5

STRONG

competitivebrand_awarenessopen_ended

"Have you used anything similar before — like Lakme 9-to-5, Dot & Key SPF moisturizer, or any BB cream? How does Glow Shield compare in your mind?"

सिलूटिल I I have used L'Oreal product but they do not have everything together. They have a one or two combinations. So but I find like this glow shield is having a uniqueness to have moisturizer, sun cream and foundation all together.

Latency 19.7s42 words2 fillersPulse +16.5 ΔbaselineEngage 0.978

Depth

8.0

Specificity

7.0

Physiological Arousal Timeline

rPPG · 37 windows · quality avg 90.7%

Pulse Proxy (Δ from baseline 129.98) + BPM

Per-Window Signal Quality Score

Quality heat map (each square = 1 window)

≥0.9 Excellent 0.8–0.9 Good 0.7–0.8 Fair <0.7 Poor

🧬

Arousal Annotation — Max Delta +23.86 at ~177s

Pulse proxy peaked at 143.51 (baseline 129.98) at ~177s. BPM range 42.4 – 69.5 BPM.

Visual Engagement Metrics

MediaPipe FaceLandmarker · 38 windows

Attention · Eye Contact · Engagement over Session

Head Pose — Avg Yaw (° from center)

Blink Rate (per min)

⚠ Blink rate = 0 in 36/38 windows — detection threshold likely miscalibrated

⚠ Head roll = 0.0 all windows — roll computation may not be active

Avg Attention Score

96.5%

Tracked across 38 signal windows.

Avg Eye Contact

97.9%

Iris landmark method (±0.10 midline).

Duchenne Smile Events

/ 38 windows (39%)

Genuine positive affect — orbicularis oculi activation detected.

Response Characteristics

Speech signals · voice-chat mode

Response Latency by Question — thinking time after avatar finished

Average 19.6s per response. 2s threshold is calibrated for sales context; MR concept-test typically sees 10–35s for reflective evaluation.

Word Count & Filler Words by Question

Avg 36.2 words per answer · 2 total filler words across session.

Composite Score Progression + Score Components

Key Research Insights

Synthesised from all signal layers

✅

Concept Reception Score 7.0/10

"Really excited to have a product which is having all the three things together. Because that will cut down my morning ro…" — Initial reaction sets the emotional baseline for the session.

⚠️

Price Barrier (₹799) — "Too Expensive" Verdict

Score 5.5/10. "चीज बहुत ही महंगा है। सात सौ निन्यानवे रुपये फॉर जस्ट स्मॉल बॉटल ऑफ थर्टी एमएल। आई थिंक हमें ना इसको सस्ता करना चाहिए।…" — Code-switching to local language during price feedback signals genuine emotional response beyond polite criticism. Consider price-point testing.

🧬

Physiological Arousal Peak +23.86 (pulse proxy)

Non-verbal corroboration of verbal enthusiasm. Baseline 129.98 → peak 153.84. Arousal spike aligns with highest-engagement answer moment.

👁️

Exceptional Engagement — 97% Avg Attention

Attention 96.5%, eye contact 97.9%, engagement 97.2% across 38 windows. 15 Duchenne smile windows — high signal-to-noise ratio for research purposes.

⚠️

Q4 Weakest Response — pricing, price_sensitivity

Score 5.5/10. "चीज बहुत ही महंगा है। सात सौ निन्यानवे रुपये फॉर जस्ट स्मॉल बॉटल ऑफ थर्टी एमएल। आई थिंक हमें ना इसको सस्ता करना चाहिए।…" — This topic warrants deeper probing in follow-up sessions.

🏆

Competitive Context Referenced

"सिलूटिल I I have used L'Oreal product but they do not have everything together. They have a one or two combinations. So but I find like this glow shield is having a uniqueness to h…" — Spontaneous competitive comparison provides positioning benchmark.

📊

Respondent Segment: Considerer

Purchase intent 7/10. Segment classification based on response depth, purchase intent, and behavioral signals. Targeted messaging should address this segment's primary decision levers.

Behavioral Narrative

session-end synthesis

Key responses highlighted a strong desire for convenience in skincare routines, with one participant stating, "Really excited to have a product which is having all the three things together." This sentiment was echoed in discussions about the limitations of existing products, particularly from L'Oreal, which participants felt lacked comprehensive solutions.

The emotional arc of the session remained neutral throughout, with consistent engagement but no significant shifts in sentiment. Participants expressed a steady interest in the product concept without displaying strong emotional highs or lows.

Behavioral patterns indicated moments of enthusiasm, particularly when discussing the potential for a simplified skincare routine. Participants showed no signs of hesitation or stress, suggesting they were comfortable with the topic and engaged in the conversation.

Research note: To capitalize on the expressed enthusiasm for convenience, consider developing marketing materials that emphasize the time-saving benefits of the product, highlighting how it consolidates multiple steps into one effective solution.