How Viewzee Turns Real-World Activity Into Instant Insights.

Every entry you add becomes part of something bigger. Here's what Viewzee does with your data — and how it turns everyday moments into answers.

📊

Analytics Questions

11 built-in questions, answered automatically

Viewzee groups your entries by what you did, who you were with, how you felt, and when — then counts, averages, and ranks them to answer the questions you'd naturally wonder about your own life.

Who did I see most this year? What activity do I rate highest? Which day of the week is my best? How many days have I tracked? Viewzee runs the numbers so you don't have to.

"Sarah: 45 events across 12 days"

"Saturday: 4.32 avg rating"

"Best month: July (4.6 avg)"

🔗

Correlations & Insights

8 ways your data connects

Because every entry captures what, who, when, weather, mood, and rating together, Viewzee can cross-reference dimensions to find patterns. Does weather affect your mood? Are certain activities better at certain times? How long is your current positive streak?

Each insight is measured against your personal baseline — your average rating across everything. If a specific slice scores higher than your average, Viewzee tells you by how much.

"You're 12% happier when it's sunny"

"Running boosts your mood by 18%"

"You're on a 7-day positive streak!"

👥

People Insights

5 analysis types, all people-centered

Most apps treat "who you were with" as an afterthought. Viewzee puts people at the center — and finds patterns around them. Which people correlate with your highest ratings? What activities are best with specific people? Which moods show up most around certain friends?

Every partner insight is compared against your overall average, so you can see exactly who lifts you up and in what context.

"You're 15% happier with Sarah"

"Coffee with Sam boosts mood 22%"

"You often feel 'Wonderful' with Sarah"

📐

The Common Formula

One formula powers almost every insight

Viewzee calculates your global average rating — the average across every entry you've ever added. Then, for any specific slice (a weather condition, an activity, a person), it compares that slice's average to your global average.

(specific avg − global avg) ÷ global avg × 100 = % difference

If your overall average is 3.5 and sunny days average 4.2, that's a 20% boost. Simple math, powerful answers — and it all comes from data you already have.