A consolidated summary of all numerical data, statistics, and measurable findings collected across the entire research process — organized by source and cross-referenced for validation.


A. Primary Research — Quantitative Data

From Survey & Questionnaires (5.2) — 42 Respondents, 25 Questions

Demographics

Metric Value
Total respondents 42
Age range 18–45 years
Gender split 57% Male, 38% Female, 5% Non-binary
Online shopping frequency 88% shop online at least once/month
Average monthly online spend ₹3,500–₹8,000

Trust & Fake Review Perception

Finding Percentage
Believe fake reviews are increasing 90.5%
Have been misled by a fake review 83%
Have abandoned a purchase due to review distrust 74%
Rate current review systems as "unreliable" or "very unreliable" 69%
Have never reported a fake review (despite spotting one) 62%

Feature Demand

Feature "Want This" %
Verified-purchase-only reviews 85%
Photo/video reviews are more trustworthy 78%
Want to know reviewer's usage duration 71%
Prefer single trusted review source over multiple platforms 68%
Want to see review edit history 67%
Would use a dedicated verified review app 64%
Willing to go through extra verification for trusted reviews 59%

Category-Specific Trust Concern Scores (1–5 scale)

Category Avg. Trust Concern Score
Electronics & Gadgets 4.7 / 5
Beauty & Skincare 4.5 / 5
Health Supplements 4.3 / 5
Fashion & Apparel 3.6 / 5
Food & Groceries 3.2 / 5
Books & Media 2.4 / 5

From Diary Studies (5.4) — 6 Users, 14 Days, 47 Entries

Metric Value
Total diary entries 47
Average entries per user 7.8
Average purchase decisions tracked 4.2 per user
Users who changed product opinion over 14 days 3 out of 6 (50%)
Average external sources checked per purchase 3.2
Average extra time spent cross-referencing reviews 23 minutes per purchase
Entries mentioning "trusted a review" referencing photos 82%
Entries expressing frustration with reviews 68%
Purchases abandoned due to conflicting reviews 1.8 per user over 14 days

From Contextual Inquiry (5.3) — 4 Users Observed