Typical user Analysis

Source: Internet
Author: User

Typical User Scenario analysis:

PersonA :

Name

Rice and rice

Gender, age

Female, 20 years old

Occupational

Students

Income

No income

Knowledge levels and Competencies

Undergraduate

Life / Work Situation

Sophomore student

Motive, purpose, difficulty

Want to account, the accounting software on the market is not concise, clear, in line with their own consumption habits

User Preferences

Planned consumption

User ratio

90D

Typical scenario

Receive monthly living expenses, support January expenses

Typical description

Fast bookkeeping, quick and easy

1 . Background:

(1) typical users

University students

(2) User's needs / urgent need to solve the problem

Simple bookkeeping, good plan consumption,

(3) Suppose

can clearly see historical consumption records

2 . Scene:

The user accounts through simple actions, and can view historical consumption records.

Yes.

The point is that the operation is simple and the statistical results are clear!

3 . Other information

Typical User Scenario analysis:

personb :

Name

Barrel Barrels

Gender, age

Female, 30 years old

Occupational

White collar

Income

5000 Yuan/month

Knowledge levels and Competencies

Undergraduate

Life / Work Situation

Ordinary white-collar life, a three mouth.

Motive, purpose, difficulty

Want to account, the accounting software on the market is not simple and convenient

User Preferences

Monthly consumption more tense

User ratio

15%

Typical scenario

Monthly salary, fixed monthly consumption, more items to spend

Typical description

Fast bookkeeping, quick and easy

1 . Background:

(1) typical users

Ordinary white-collar

(2) User's needs / urgent need to solve the problem

Simple bookkeeping, good plan consumption, can clearly see the historical consumption characteristics, analysis of consumption structure.

(3) Suppose

can clearly see historical consumption records.

2 . Scene:

The user accounts through simple actions, and can view historical consumption records.

Yes.

The point is that the operation is simple and the statistical results are clear!

3 . Other information

Typical user Analysis

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