1. Interviewing
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2. S.Vidya,AP/CSE

3. Overview Technique Good for Kind of data Plus Minus Interviews
Exploring issues
Some quantitative but mostly qualitative data
Interviewer can guide interviewee. Encourages contact between developers and users
Time consuming. Artificial environment may intimidate interviewee
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4. Define interviewing? Interviewing is a simple and direct technique.
Context-free questions can help achieve bias-free interviews.
Then, it may be appropriate to search for undiscovered requirements by exploring solutions.
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5. Context Free Questions
These questions focus us to listen before attempting to describe the solutions.
Eg:
Who is the user?
Who is the customer?
Are their needs different?
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6. Context Free Questions
Context free questions are questions that can be used regardless of the project under consideration.
They are general questions about the nature of the project and the environment in which the final product will be used.
Context free questions make sense at several stages of an interview.
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7. Solutions - context questions
Search for the undiscovered requirements
Providing solutions to appropriate problems-problems being solved
In addition provides insights of the problem
Different views of the problem
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8. Tips for successful Interview
Prepare appropriate questions and review the questions before interview
Before interview research the background of the Stakeholders and Company
Don’t bore the person being interviewed with the questions
Jot down the answers in your notebook during interview
Refer the template during the interview
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9. Template Part 1: Part 2: Part 3: Part 4: Part 5:
Establishing the customer or user profile
Part 2:
Assessing the Problem
Part 3:
Understanding the user Environment
Part 4:
Recap for Understanding
Part 5:
The analyst’s input on the customers problem
S.Vidya,AP/CSE

10. Template Part 6: Part 7: Part 8: Part 9: Part 10: Part 11:
Assessing your solution
Part 7:
Assessing the opportunity
Part 8:
Assessing the reliability , performance and support needs
Part 9:
Other requirements
Part 10:
Wrap up
Part 11:
The analyst’s summary
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11. Brainstorming
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12. Brainstorming
To invent new way of doing things or when much is unknown
When there are few or too many ideas
Early on in a project particularly when:
uncertain
There is little expertise for the type of applications
Innovation is important (e.g., novel system)
Two main activities:
The Storm: Generating as many ideas as possible (quantity, not quality) – wild is good!(brainstroming )
The Calm: Filtering out of ideas (combine, clarify, prioritize, improve…) to keep the best one(s) – may require some voting strategy(idea reduction)
Roles: scribe, moderator,participants
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13. Brainstorming – Objectives
Hear ideas from everyone, especially unconventional ideas
Keep the tone informal and non-judgemental
Keep the number of participants “reasonable“ – if too many, consider a “playoff “-type filtering and invite back the most creative to multiple sessions
Encourage creativity
Choose good, provocative(challenging) project name.
Choose good, provocative problem statement
Get a room without distractions, but with good acoustics(audiability), whiteboards, coloured pens, provide coffee/donuts/pizza/beer
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14. Brainstorming – Roles Scribe Moderator/Leader
Write down all ideas (may also contribute)
May ask clarifying questions during first phase but without criticizing
Moderator/Leader
Cannot be the scribe
leadership role
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15. Brainstorming – Participants
Virtually any stakeholder, e.g.
Developers
Domain experts
End-users
Clients
...
“Ideas-people” – a company may have a special team of people
Chair or participate in brainstorming sessions
Not necessarily further involved with the project
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16. Brainstorming – The Storm
Goal is to generate as many ideas as possible
Quantity, not quality, is the goal at this stage
Look to combine or vary ideas already suggested
No criticism or debate is permitted – do not want to inhibit participants
Let your imagination soar
Mutate and combine ideas
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17. Idea reduction Brainstorming idea- generation Phase Pruning Ideas
Grouping Ideas
Defining features
Prioritizing ideas
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