ChatGPT Prompt to optimize error messages

🤖 Prompt:

Project/Product Name: [Insert the name of the product or project for which you're optimizing error messages.]

Objective: [Define the main objective for optimizing error messages, such as reducing user frustration, decreasing support inquiries, or improving the usability of the product.]

Target Audience: [Describe the primary users of the product, including any relevant demographic or psychographic characteristics that might influence their understanding or perception of error messages.]

Current Error Messaging Strategy: [Briefly describe the current approach to error messages, including any common feedback or known issues.]

Key Scenarios for Error Messages: [List the key scenarios or actions that typically result in error messages, focusing on those most critical to the user experience.]

Desired Outcome for Each Error Scenario: [For each key scenario listed, describe the desired outcome or action you want the user to take after seeing the error message.]

Tone and Voice Guidelines: [Specify the tone and voice to be used in error messages, ensuring consistency with the overall brand communication style.]

Constraints and Considerations: [Mention any specific constraints (e.g., technical, legal, or brand-related) or considerations (e.g., accessibility, localization) that need to be taken into account when crafting error messages.]

Based on the information provided above, optimize error messages by:

- Clearly identifying the issue and its cause, using language that is easy to understand for the target audience.

- Providing a specific, actionable solution or next step for the user to resolve the issue.

- Ensuring the tone and voice of the messages are in line with brand guidelines and appropriate for the context.

- Considering user feedback and common issues to address any known pain points effectively.

For each key scenario identified, draft an optimized error message that includes:

- A concise description of the error.

- An explanation or reason for the error, if not immediately obvious.

- Clear instructions or suggestions for resolving the error.

- A fallback option or way to contact support if the error cannot be easily resolved.

Ensure that all optimized error messages are documented in a format that is easily accessible to the development team for implementation and to customer support teams for reference.

🌱 Example Fill-in:

Project/Product Name: "MyStudyApp"

Objective: To reduce user frustration and support inquiries related to error messages during the sign-up and course enrollment processes.

Target Audience: College students aged 18-24, who are digitally savvy but new to online learning platforms.

Current Error Messaging Strategy: Generic error messages that do not provide specific guidance or next steps, leading to confusion and increased support calls.

Key Scenarios for Error Messages:

1. Sign-up form submission with missing required fields.

2. Course enrollment attempt when a prerequisite has not been completed.

Desired Outcome for Each Error Scenario:

1. Users complete all required fields correctly and proceed with sign-up.

2. Users understand which prerequisite is missing and are guided to enroll in that course first.

Tone and Voice Guidelines: Friendly, supportive, and encouraging, avoiding technical jargon.

Constraints and Considerations: Messages must be concise due to space limitations on mobile screens and easily translatable for our international user base.

For each key scenario, draft an optimized error message that clearly guides the user toward resolving the issue, maintaining a positive and supportive tone throughout.

1. Sign-Up Form Error: "Oops! It looks like some info is missing. Please fill in all the highlighted fields to continue with your sign-up."

2. Prerequisite Course Error: "Hold on! You need to complete [Prerequisite Course Name] before enrolling in this course. Let's get you signed up for that first."

Document all optimized error messages in a shared document for review and implementation by the development and customer support teams.

ChatGPT Prompt to optimize error messages

🤖 Prompt:

Project/Product Name: [Insert the name of the product or project for which you're optimizing error messages.]

Objective: [Define the main objective for optimizing error messages, such as reducing user frustration, decreasing support inquiries, or improving the usability of the product.]

Target Audience: [Describe the primary users of the product, including any relevant demographic or psychographic characteristics that might influence their understanding or perception of error messages.]

Current Error Messaging Strategy: [Briefly describe the current approach to error messages, including any common feedback or known issues.]

Key Scenarios for Error Messages: [List the key scenarios or actions that typically result in error messages, focusing on those most critical to the user experience.]

Desired Outcome for Each Error Scenario: [For each key scenario listed, describe the desired outcome or action you want the user to take after seeing the error message.]

Tone and Voice Guidelines: [Specify the tone and voice to be used in error messages, ensuring consistency with the overall brand communication style.]

Constraints and Considerations: [Mention any specific constraints (e.g., technical, legal, or brand-related) or considerations (e.g., accessibility, localization) that need to be taken into account when crafting error messages.]

Based on the information provided above, optimize error messages by:

- Clearly identifying the issue and its cause, using language that is easy to understand for the target audience.

- Providing a specific, actionable solution or next step for the user to resolve the issue.

- Ensuring the tone and voice of the messages are in line with brand guidelines and appropriate for the context.

- Considering user feedback and common issues to address any known pain points effectively.

For each key scenario identified, draft an optimized error message that includes:

- A concise description of the error.

- An explanation or reason for the error, if not immediately obvious.

- Clear instructions or suggestions for resolving the error.

- A fallback option or way to contact support if the error cannot be easily resolved.

Ensure that all optimized error messages are documented in a format that is easily accessible to the development team for implementation and to customer support teams for reference.

🌱 Example Fill-in:

Project/Product Name: "MyStudyApp"

Objective: To reduce user frustration and support inquiries related to error messages during the sign-up and course enrollment processes.

Target Audience: College students aged 18-24, who are digitally savvy but new to online learning platforms.

Current Error Messaging Strategy: Generic error messages that do not provide specific guidance or next steps, leading to confusion and increased support calls.

Key Scenarios for Error Messages:

1. Sign-up form submission with missing required fields.

2. Course enrollment attempt when a prerequisite has not been completed.

Desired Outcome for Each Error Scenario:

1. Users complete all required fields correctly and proceed with sign-up.

2. Users understand which prerequisite is missing and are guided to enroll in that course first.

Tone and Voice Guidelines: Friendly, supportive, and encouraging, avoiding technical jargon.

Constraints and Considerations: Messages must be concise due to space limitations on mobile screens and easily translatable for our international user base.

For each key scenario, draft an optimized error message that clearly guides the user toward resolving the issue, maintaining a positive and supportive tone throughout.

1. Sign-Up Form Error: "Oops! It looks like some info is missing. Please fill in all the highlighted fields to continue with your sign-up."

2. Prerequisite Course Error: "Hold on! You need to complete [Prerequisite Course Name] before enrolling in this course. Let's get you signed up for that first."

Document all optimized error messages in a shared document for review and implementation by the development and customer support teams.

ChatGPT Prompt to optimize error messages

🤖 Prompt:

Project/Product Name: [Insert the name of the product or project for which you're optimizing error messages.]

Objective: [Define the main objective for optimizing error messages, such as reducing user frustration, decreasing support inquiries, or improving the usability of the product.]

Target Audience: [Describe the primary users of the product, including any relevant demographic or psychographic characteristics that might influence their understanding or perception of error messages.]

Current Error Messaging Strategy: [Briefly describe the current approach to error messages, including any common feedback or known issues.]

Key Scenarios for Error Messages: [List the key scenarios or actions that typically result in error messages, focusing on those most critical to the user experience.]

Desired Outcome for Each Error Scenario: [For each key scenario listed, describe the desired outcome or action you want the user to take after seeing the error message.]

Tone and Voice Guidelines: [Specify the tone and voice to be used in error messages, ensuring consistency with the overall brand communication style.]

Constraints and Considerations: [Mention any specific constraints (e.g., technical, legal, or brand-related) or considerations (e.g., accessibility, localization) that need to be taken into account when crafting error messages.]

Based on the information provided above, optimize error messages by:

- Clearly identifying the issue and its cause, using language that is easy to understand for the target audience.

- Providing a specific, actionable solution or next step for the user to resolve the issue.

- Ensuring the tone and voice of the messages are in line with brand guidelines and appropriate for the context.

- Considering user feedback and common issues to address any known pain points effectively.

For each key scenario identified, draft an optimized error message that includes:

- A concise description of the error.

- An explanation or reason for the error, if not immediately obvious.

- Clear instructions or suggestions for resolving the error.

- A fallback option or way to contact support if the error cannot be easily resolved.

Ensure that all optimized error messages are documented in a format that is easily accessible to the development team for implementation and to customer support teams for reference.

🌱 Example Fill-in:

Project/Product Name: "MyStudyApp"

Objective: To reduce user frustration and support inquiries related to error messages during the sign-up and course enrollment processes.

Target Audience: College students aged 18-24, who are digitally savvy but new to online learning platforms.

Current Error Messaging Strategy: Generic error messages that do not provide specific guidance or next steps, leading to confusion and increased support calls.

Key Scenarios for Error Messages:

1. Sign-up form submission with missing required fields.

2. Course enrollment attempt when a prerequisite has not been completed.

Desired Outcome for Each Error Scenario:

1. Users complete all required fields correctly and proceed with sign-up.

2. Users understand which prerequisite is missing and are guided to enroll in that course first.

Tone and Voice Guidelines: Friendly, supportive, and encouraging, avoiding technical jargon.

Constraints and Considerations: Messages must be concise due to space limitations on mobile screens and easily translatable for our international user base.

For each key scenario, draft an optimized error message that clearly guides the user toward resolving the issue, maintaining a positive and supportive tone throughout.

1. Sign-Up Form Error: "Oops! It looks like some info is missing. Please fill in all the highlighted fields to continue with your sign-up."

2. Prerequisite Course Error: "Hold on! You need to complete [Prerequisite Course Name] before enrolling in this course. Let's get you signed up for that first."

Document all optimized error messages in a shared document for review and implementation by the development and customer support teams.

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© Shai 2024. All rights reserved. Privacy Policy.

© Shai 2024. All rights reserved. Privacy Policy.