Why performance ensures usability in Tableau - Dashboard Impact

Dashboard Mode - Why performance ensures usability

Dashboard Goal

This dashboard answers: How does performance impact usability in a sales dashboard?

Sample Data

Page	Load Time (seconds)	User Satisfaction (1-5)	Sales (USD)
Home	2.5	4	10000
Product	3.8	3	8000
Checkout	1.2	5	12000
Reports	5.0	2	6000
Dashboard	2.0	4	11000

Dashboard Components

• KPI Card: Average Load Time
  Formula: AVG([Load Time (seconds)]) = (2.5 + 3.8 + 1.2 + 5.0 + 2.0) / 5 = 2.9 seconds
• KPI Card: Average User Satisfaction
  Formula: AVG([User Satisfaction (1-5)]) = (4 + 3 + 5 + 2 + 4) / 5 = 3.6
• Bar Chart: Load Time by Page
  Shows load time for each page to identify slow pages.
• Bar Chart: User Satisfaction by Page
  Shows user satisfaction scores per page.
• Scatter Plot: Load Time vs User Satisfaction
  Plots each page's load time against user satisfaction to show correlation.
• Table: Sales by Page
  Shows sales figures to relate performance and usability to business impact.

Dashboard Layout

+----------------------+-----------------------------+
| Average Load Time KPI | Average User Satisfaction KPI |
+----------------------+-----------------------------+
| Load Time by Page Bar Chart               |
+------------------------------------------+
| User Satisfaction by Page Bar Chart       |
+------------------------------------------+
| Scatter Plot: Load Time vs User Satisfaction |
+------------------------------------------+
| Sales by Page Table                       |
+------------------------------------------+

Interactivity

A page filter allows selecting one or multiple pages. When a page is selected, all charts and KPIs update to show data only for those pages. This helps users focus on performance and usability for specific pages.

Self Check

If you add a filter to select only the "Checkout" page, which components update and what values do they show?

• Average Load Time KPI: 1.2 seconds
• Average User Satisfaction KPI: 5
• Load Time by Page Bar Chart: shows only Checkout with 1.2 seconds
• User Satisfaction by Page Bar Chart: shows only Checkout with score 5
• Scatter Plot: single point at (1.2, 5)
• Sales by Page Table: shows Checkout sales 12000 USD

Key Result

Dashboard shows how page load time affects user satisfaction and sales, highlighting performance's role in usability.

Practice

1. Why is dashboard performance important for usability in Tableau?

easy

A. Because fast dashboards keep users engaged and productive

B. Because slow dashboards look more professional

C. Because performance only matters for developers, not users

D. Because dashboards with many colors are always faster

Solution

1. Step 1: Understand user experience impact

   Users prefer dashboards that load quickly and respond fast to interactions.

2. Step 2: Connect performance to usability

   Fast dashboards reduce frustration and help users make decisions efficiently.

3. Final Answer:

   Because fast dashboards keep users engaged and productive -> Option A

4. Quick Check:

   Performance = Usability [OK]

Hint: Fast dashboards improve user happiness and productivity [OK]

Common Mistakes:

• Thinking slow dashboards are acceptable
• Ignoring user experience in performance
• Believing colors affect speed directly

2. Which Tableau feature helps improve dashboard performance by limiting data load?

easy

A. Increasing the number of dashboard actions

B. Adding more worksheets to the dashboard

C. Using many quick filters on all fields

D. Using Extracts instead of Live connections

Solution

1. Step 1: Identify performance optimization methods

   Extracts store a snapshot of data, reducing query time compared to live connections.

2. Step 2: Evaluate options for limiting data load

   Extracts limit data load and improve speed, unlike adding filters or worksheets which can slow down performance.

3. Final Answer:

   Using Extracts instead of Live connections -> Option D

4. Quick Check:

   Extracts = Faster data load [OK]

Hint: Use extracts to reduce data load and speed up dashboards [OK]

Common Mistakes:

• Adding many filters without considering impact
• Believing more worksheets improve speed
• Confusing dashboard actions with performance boosts

3. Given a Tableau dashboard with 5 data sources and 10 quick filters, what is the likely impact on performance?

medium

A. Performance will improve because more data sources mean faster queries

B. Performance will slow down due to multiple data sources and many filters

C. Performance stays the same regardless of data sources and filters

D. Performance will be faster if filters are removed but data sources don't matter

Solution

1. Step 1: Analyze impact of multiple data sources

   Multiple data sources increase query complexity and load time.

2. Step 2: Consider effect of many quick filters

   Each filter adds queries and processing, slowing dashboard response.

3. Final Answer:

   Performance will slow down due to multiple data sources and many filters -> Option B

4. Quick Check:

   More sources + filters = Slower performance [OK]

Hint: More data sources and filters usually slow dashboards [OK]

Common Mistakes:

• Assuming more data sources speed up queries
• Ignoring filter impact on performance
• Thinking performance is unaffected by dashboard complexity

4. You notice a Tableau dashboard is very slow. Which change will most likely fix the performance issue?

medium

A. Replace live connections with extracts

B. Add more quick filters to narrow data

C. Increase the number of dashboard actions

D. Use more complex calculated fields

Solution

1. Step 1: Identify common causes of slowness

   Live connections query data on demand, which can slow dashboards if data is large or network is slow.

2. Step 2: Choose the best fix

   Replacing live connections with extracts reduces query time and improves speed.

3. Final Answer:

   Replace live connections with extracts -> Option A

4. Quick Check:

   Extracts improve speed by reducing live queries [OK]

Hint: Switch live to extracts to boost speed [OK]

Common Mistakes:

• Adding filters without testing impact
• Increasing dashboard actions thinking it helps
• Using complex calculations without optimization

5. You want to improve a slow Tableau dashboard used by sales teams. Which combined approach best ensures usability through performance?

hard

A. Use many quick filters, complex calculations, and multiple data sources

B. Add more worksheets, use live connections, and increase dashboard actions

C. Use data extracts, limit quick filters, and optimize calculations

D. Remove all filters and use only text tables

Solution

1. Step 1: Identify best practices for performance

   Using extracts reduces data load; limiting filters reduces query complexity; optimizing calculations reduces processing time.

2. Step 2: Evaluate options for usability

   Use data extracts, limit quick filters, and optimize calculations combines these best practices, improving speed and user experience.

3. Final Answer:

   Use data extracts, limit quick filters, and optimize calculations -> Option C

4. Quick Check:

   Extracts + fewer filters + optimized calcs = Best performance [OK]

Hint: Combine extracts, fewer filters, and optimized calcs for speed [OK]

Common Mistakes:

• Adding complexity instead of reducing it
• Ignoring calculation optimization
• Removing filters completely harms usability