Name: Mani Krishnan
Age: 24
Occupation: Software Engineer
Location: Hyderabad, India
Education: B.Tech in Computer Science
Monthly Income: ₹55,000
Relationship Status: Single
Tech Savviness: High
Photo Description: Young professional male, casual office wear, sitting at a desk with dual monitors, smartphone in hand, AirPods in ears. Confident but slightly frustrated expression.
Bio
Mani is a 24-year-old software engineer working at a mid-size IT company in Hyderabad. He shops online 4-6 times per month, primarily for electronics, gadgets, fashion, and daily essentials. Being tech-savvy, he reads reviews thoroughly before every purchase — but has been burned multiple times by products that didn't match their glowing reviews. He's developed an elaborate system of cross-checking reviews across Amazon, Flipkart, YouTube, and Reddit, but finds this time-consuming and exhausting. He believes technology should solve the fake review problem, not just flag it.
Demographics
| Attribute |
Detail |
| Age |
24 |
| Gender |
Male |
| Location |
Hyderabad, Telangana |
| Occupation |
Software Engineer |
| Company Size |
500+ employees |
| Income |
₹55,000/month (₹6.6L/year) |
| Education |
B.Tech (CS) |
| Devices |
iPhone 14, MacBook Pro (work), Windows laptop (personal), iPad |
| Primary Shopping Platforms |
Amazon India, Flipkart, Myntra |
| Shopping Frequency |
4-6 times/month |
| Avg. Monthly Online Spend |
₹8,000–₹12,000 |
| Payment Method |
UPI (GPay, PhonePe), Credit Card |
| Social Media |
Instagram, Twitter/X, Reddit, YouTube |
Goals
| # |
Goal |
| 1 |
Make confident purchase decisions without second-guessing reviews |
| 2 |
Save time — stop spending 20+ minutes cross-checking every purchase |
| 3 |
Find reviews from people with similar usage patterns (tech professionals) |
| 4 |
Identify genuine long-term product quality, not just Day-1 impressions |
| 5 |
Help others by writing honest reviews that actually get visibility |
Frustrations / Pain Points
| # |
Pain Point |
Severity |
| 1 |
"Day-1 reviews are just unboxing excitement, not real reviews" — Can't find reviews from long-term users |
🔴 High |
| 2 |
Spends 20-30 minutes per purchase cross-checking 3-4 platforms |
🔴 High |
| 3 |
Bought a laptop stand based on 4.5-star reviews — broke in 2 weeks; reviews were clearly planted |
🔴 High |
| 4 |
Can't distinguish genuine vs. incentivized reviews on Amazon |
🟡 Medium |
| 5 |
His honest negative reviews get buried under fake positive ones |
🟡 Medium |
| 6 |
No way to filter reviews by "people like me" (same profession, usage pattern) |
🟡 Medium |
Motivations
| Motivation |
Description |
| Efficiency |
Wants to reduce decision-making time. Values tools that save time. |
| Accuracy |
Wants reviews that reflect actual product performance over time. |
| Community |
Believes in honest review culture. Willing to contribute detailed reviews if the platform values them. |
| Tech-Forward |
Excited by innovative solutions. Drawn to apps that use technology (like UPI verification) in smart ways. |