Asking Effective Questions

Question 1

Structured Thinking

Answer 1

1. Recognising the current problem or situation
2. Organising available information
3. Revealing gaps and opportunities
4. Identifying the options.

Question 2

S.M.A.R.T

Answer 2

1.Specific questions.
2. Measurable questions.
3. Action-oriented questions.
4. Relevant questions.
5. Time-bound questions.

Question 3

Fairness

Answer 3

Fairness means not creating or reinforcing bias.

Question 4

Questions To Avoid

Answer 4

1. Leading questions.
2. Close-ended questions.
3. Vague questions.

Question 5

Quantitative Data

Answer 5

Specific and objective measures of numerical facts. [The what? How many? And how often? ]

Question 6

Qualitative Data

Answer 6

Subjective or explanatory measures of qualities and characteristics. [Things that can’t be measured numerically. Great for helping us answer Why? questions.]

Question 7

Metric Goal

Answer 7

This is a metric goal set by the company and measured using metrics.

Question 8

Metric Formula

Answer 8

Metrics can be combined into formulas that you plug your numerical data into.

Question 9

Return On Investment [ROI]

Answer 9

ROI = net profit over a period of time and the cost of investment.

Question 10

Mathematical Thinking

Answer 10

Mathematical Thinking means looking at a problem and logically breaking it down step-by-step, so you can see the relationship of patterns in your data.

Question 11

Metric

Answer 11

Single, quantifiable type of data that can be used for measurements.

Question 12

Pivot Table

Answer 12

A data summarisation tool that is used in data processing. Pivot tables are used to summarise, sort, reorganise, group, count, total or average data stored in a database.

Question 13

Report

Answer 13

Static collection of data given to stakeholders periodically.

Question 14

Dashboard

Answer 14

Monitors live, incoming data.

Question 15

Small Data

Answer 15

Datasets concerned with specific metrics over a SHORT, well defined period of time. Small Data is good for small day to day decisions. Spreadsheets can be used to organise and analyse small datasets.

Question 16

Big Data

Answer 16

Large and less specific datasets over longer periods of time helping companies to make big decisions. SQL is most useful when working with data of this scale.

Question 17

Vs of Big Data [3 or 4]

Answer 17

Volume - The amount of data
Variety - The different kinds of data
Velocity - How fast the data can be processed
Veracity - The quality and reliability of the data
Value - What insights can be gleaned from the data