Interview Goal

To understand how online shoppers perceive, interact with, and trust product reviews — and identify pain points caused by fake or manipulated reviews.


Participant Criteria

Criteria Details
Age Range 18–45 years
Shopping Frequency Shops online at least 2–3 times per month
Platforms Used Amazon, Flipkart, Meesho, Myntra, or similar
Review Behavior Reads reviews before making purchase decisions
Exclusions People working in e-commerce industry (to avoid bias)

Recruitment Method

Method Details
Approach Personal network, social media outreach, WhatsApp groups
Screener Google Form with 5 qualifying questions
Incentive None (voluntary participation)

Participant Details

# Name Age Gender Occupation Location Mode Duration
1 Mani 24 Male Software Engineer Hyderabad Video Call 25 min
2 Ravi 31 Male Freelancer Bangalore Video Call 28 min
3 Teja 22 Male College Student Chennai In-person 22 min
4 Surya 28 Male Marketing Executive Mumbai Video Call 30 min
5 Rizwan 35 Male Small Business Owner Delhi Video Call 26 min
6 Kirana 26 Female Teacher Hyderabad In-person 24 min

Total Participants: 6 users


Interview Method

Item Details
Type Semi-structured interviews
Mode Video call (Google Meet) / In-person
Duration 20–30 minutes per session
Recording Audio recorded with participant consent
Note-taking Real-time notes during interview

Key Findings

# Insight Frequency
1 Users read negative reviews first to find "real" problems 5 / 6 users
2 Users doubt products with only 5-star ratings 6 / 6 users
3 Users can't tell if reviewer actually purchased the product 6 / 6 users
4 Users have made regretted purchases due to misleading reviews 4 / 6 users
5 Users want a trusted "Verified Buyer" indicator 6 / 6 users
6 Users ignore reviews that feel too promotional or generic 5 / 6 users
7 Users trust reviews with photos more than text-only reviews 4 / 6 users