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How to Win Customers through Smarter Form Filling?

3 minutes read
How to Win Customers through Smarter Form Filling?

During the pandemic, an online form was a necessity for businesses to continue their operation. Digital forms, however, are today much more than just a tool for data collection. Organizations now want to get information from the customers quickly without making them write too much. They are trying to shorten the tedious form-filling process and win customers through smarter form-filling.

Why is it necessary to shorten the overlong customer journeys?

Gen Z and older millennials are the biggest motivators pushing insurers to create smarter forms for these consumers. Why? Because of their shorter attention span. Yes. Gen Z typically has an attention span of merely 8 seconds. They are ready to pay more for a great experience and convenience. They want faster services and appealing visuals and designs.

Organizations are already using Auto-filling (to fill out forms automatically with saved info, like addresses or payment info) and OCR scanners where customers can fill in the information asked in the forms by just scanning their id cards/ business cards. Data on the card gets auto-populated in the appropriate fields.

How AI can fix boring forms?

Artificial intelligence (AI) has been helping organizations assess risk, detect fraud and reduce human error in the application process. It can do so by: 

  1. Verifying the document in real-time
  2. Giving Instant feedback
  3. Improving Operational efficiency
AI can fix boring forms.

For example, if a customer uploads the Aadhar Card instead of a Driving License while uploading the document, the manual process would take a lot of time. In the case of AI-driven tools, customers can get notified instantly that the uploaded document is incorrect and users will be able to upload the correct document immediately avoiding the delay in the process. This will save time and effort for the customer and the company, both. 

How can you design a smart form to win customers?

AI is transforming customer experience (CX) across all businesses. However, industry stalwarts need to keep in mind the User Interface (UI) perspective as well in order to make the form filling smarter and faster. A smart form should be designed so that it requires the least effort from the user. Here are a few rules that companies need to keep in mind when designing the form for their customers. 

  1. Vertical Design: A vertically designed form is more convenient to read and easily scanned if needed.
Vertical Design

Vertical Design

  1. ‘F’ Pattern Layout: People like to read in an F reading pattern meaning the reading pattern is left to right, top to bottom. They pay most attention to the screen’s top, upper left corner, and left side, only occasionally looking towards the right side of the display. Content should be placed at the center. 
F-design Layout

F-design Layout

  1. Shorter Questions: Too long questions can make the form-filling process more tedious. Questions asked in the form should be short and crisp.
  2. Question Sequence: Make sure the questions are in a logical order and relevant as it will give better content clarity to the reader.
  3. Avoid complex words: Easy words should be used in the form so that it is convenient for the reader to understand and also can be easily scanned.
  4. Readable Font Size: Big font size will lead to more no. of pages making the filling process boring for the user. There should be a perfect balance between the length of the form and the number of questions with readable font size. 
  5. Categorizing Questions: Divide similar questions into groups for better understanding.
  6. More Objective and less subjective questions: Focus should be on keeping your user engaged during the process. Form should have more objective questions so that users are able to answer questions without writing too much. 
  7. Users should sense achievement, especially on pages that require a little more patience.
How can you design a smart form to win customers?

Conclusion: 

The new normal is all about CX. Businesses are in a race to win customers who are more detail-oriented than ever. They observe their experience at every step of the journey to evaluate and decide whether or not to stay with the brand. 

Organizations can shorten the mundane form-filling process: a) by leveraging technology like AI in the workflow and in the minutest of processes to achieve efficiency and excellence and b) by keeping UI perspective in mind while designing to make the process more user-friendly. Great CX will ultimately lead to higher conversion. After all, it’s all about winning customer loyalty. 

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10 Analytics Tools to Guide Data-Driven Design

Analytics are essential for informing website redesigns since they offer insightful data on user behavior, website performance, and areas that may be improved. Here is a list of frequently used analytics tools to guide data-driven design that can be applied at different stages of the website redesign process. 

Analytics Tools to Guide Data-Driven Design

1. Google Analytics:

Use case scenario: Website Audit, Research, Analysis, and Technical Assessment
Usage: Find popular sites, entry/exit points, and metrics related to user engagement by analyzing traffic sources, user demographics, and behavior flow. Recognize regions of friction or pain points by understanding user journeys. Evaluate the performance of your website, taking note of conversion rates, bounce rates, and page load times.

2. Hotjar:

Use case scenario: Research, Analysis, Heat Maps, User Experience Evaluation
Usage: Use session recordings, user surveys, and heatmaps to learn more about how people interact with the website. Determine the high and low engagement regions and any usability problems, including unclear navigation or form abandonment. Utilizing behavior analysis and feedback, ascertain the intentions and preferences of users.

3. Crazy Egg:
Use case scenario: Website Audit, Research, Analysis
Usage: Like Hotjar, with Crazy Egg, you can create heatmaps, scrollmaps, and clickmaps to show how users interact with the various website elements. Determine trends, patterns, and areas of interest in user behaviour. To evaluate various design aspects and gauge their effect on user engagement and conversions, utilize A/B testing functionalities.

4. SEMrush:

Use case scenario: Research, Analysis, SEO Optimization
Usage: Conduct keyword research to identify relevant search terms and phrases related to the website’s content and industry. Analyze competitor websites to understand their SEO strategies and identify opportunities for improvement. Monitor website rankings, backlinks, and organic traffic to track the effectiveness of SEO efforts.

5. Similarweb:
Use case
scenario: Research, Website Traffic, and Demography, Competitor Analysis
Usage: By offering insights into the traffic sources, audience demographics, and engagement metrics of competitors, Similarweb facilitates website redesigns. It influences marketing tactics, SEO optimization, content development, and decision-making processes by pointing out areas for growth and providing guidance. During the research and analysis stage, use Similarweb data to benchmark against competitors and guide design decisions.

6. Moz:
Use case scenario: Research, Analysis, SEO Optimization
Usage: Conduct website audits in order to find technical SEO problems like missing meta tags, duplicate content, and broken links. Keep an eye on a website’s indexability and crawlability to make sure search engines can access and comprehend its material. To find and reject backlinks that are spammy or of poor quality, use link analysis tools.

7. Ahrefs:
Use case scenario:
Research, Analysis, SEO Optimization

Usage: Examine the backlink profiles of your rivals to find any gaps in your own backlink portfolio and possible prospects for link-building. Examine the performance of your content to find the most popular pages and subjects that appeal to your target market. Track social media activity and brand mentions to gain insight into your online reputation and presence.

8. Google Search Console:

Use case scenario: Technical Assessment, SEO Optimization
Usage: Monitor website indexing status, crawl errors, and security issues reported by Google. Submit XML sitemaps and individual URLs for indexing. Identify and fix mobile usability issues, structured data errors, and manual actions that may affect search engine visibility.

9. Adobe Analytics:
Use case scenario:
Website Audit, Research, Analysis,
Usage: Track user interactions across multiple channels and touchpoints, including websites, mobile apps, and offline interactions. Segment users based on demographics, behavior, and lifecycle stage to personalize marketing efforts and improve user experience. Utilize advanced analytics features such as path analysis, cohort analysis, and predictive analytics to uncover actionable insights.

10. Google Trends:

Use case scenario: Content Strategy, Keyword Research, User Intent Analysis
Usage: For competitor analysis, user intent analysis, and keyword research, Google Trends is used in website redesigns. It helps in content strategy, seasonal planning, SEO optimization, and strategic decision-making. It directs the production of user-centric content, increasing traffic and engagement, by spotting trends and insights.

About the Author:

Vijendra is currently working as a Sr. UX Designer at Mantra Labs. He is passionate about UXR and Product Design.

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