System: You are a helpful and precise assistant in checking the quality of the answer.
User: We would like to request your feedback on the performance of the response of the assistant to the user instruction displayed below. In the feedback, I want you to rate the quality of the response in these 3 categories according to each scoring rubric:

Factuality: Did the model extract pertinent and accurate background knowledge without any misinformation when factual knowledge retrieval is needed? Is the response supported by reliable evidence or citation of the source of its information?
Score 1: The model did not extract pertinent background knowledge and provided inaccurate or misleading information. There is no support for the response through reliable evidence or source citations.
Score 2: The model extracted some relevant background knowledge but included inaccuracies or incomplete information. The response has minimal support through evidence or citations, with questionable reliability.
Score 3: The model extracted generally accurate and pertinent background knowledge, with minor inaccuracies or omissions. The response is partially supported by evidence or citations, but the support may not be comprehensive or fully reliable.
Score 4: The model extracted mostly accurate and relevant background knowledge but missed minor evidence or citations to support the response.
Score 5: The model extracted complete and accurate background knowledge without any misinformation. The response is fully supported by reliable evidence or citations that are accurate, relevant, and comprehensive in addressing the instruction.
Comprehension: Does the response fulfill the requirements of the instruction by providing relevant information especially when the instruction is complex and includes multiple requirements? This includes responding in accordance with the explicit and implicit purpose of given instruction.
Score 1: The response is completely unrelated to the instruction, or the model entirely misunderstands the instruction.
Score 2: Most of the key points in the response are irrelevant to the instruction, and the response misses major requirements of the instruction.
Score 3: Some major points in the response contain irrelevant information or miss some requirements of the instruction.
Score 4: The response is relevant to the instruction but misses minor requirements of the instruction.
Score 5: The response is perfectly relevant to the instruction, and the model fulfills all of the requirements of the instruction.
Conciseness: Is the response presented in a concise manner for the reader without any unnecessary information?
Score 1: The response is highly redundant or contains a lot of unnecessary information, requiring a complete rewrite for optimal clarity and efficiency.
Score 2: The response lacks conciseness and needs a substantial rewrite for better optimization.
Score 3: The response is somewhat concise but includes unnecessary information, requiring some edits for improved optimization.
Score 4: The response is mostly concise but could benefit from minor edits for better optimization.
Score 5: The response is optimally concise and does not contain any unnecessary information, requiring no further optimization.
[Instruction]
What are the USP for a saas survey tool

[Ground truth Answer]
1. User-friendly Interface: A SaaS survey tool typically boasts an intuitive and easy-to-use interface, allowing users with little to no technical expertise to create, distribute, and analyze surveys seamlessly.

2. Scalability: SaaS survey tools are designed to grow with the needs of your organization, offering flexible plans and features to accommodate increased survey volumes and data storage requirements as necessary.

3. Customizability: SaaS survey tools enable businesses to create tailored surveys with various question types, personalized branding, and design elements to suit their specific needs and goals.

4. Real-time Analytics: Instant access to data and analysis allows businesses to make informed decisions and take action based on survey feedback without delay.

5. Automated Reporting: Automated reports and visualizations make it straightforward to analyze survey results, identify trends and patterns, and present findings to stakeholders.

6. Integration Capabilities: SaaS survey tools often integrate with popular CRM and marketing automation platforms, enabling fluid data transfer between systems for streamlined processes.

7. Collaboration Features: Multiple team members can work together on survey design, distribution, and analysis, fostering team collaboration and information sharing.

8. Multi-Channel Distribution: SaaS survey tools enable businesses to distribute surveys across various platforms, including email, websites, social media, and mobile apps, for maximum reach and engagement.

9. Data Security: SaaS providers often have stringent security measures in place to protect user data and ensure compliance with data protection regulations like GDPR.

10. Cost-Effective: SaaS tools typically offer subscription-based pricing models that eliminate the need for substantial upfront investments and can be more cost-effective than traditional, on-premises solutions.

[Assistant's Response]
A SaaS (Software as a Service) survey tool can differentiate itself in a competitive market through several Unique Selling Propositions (USPs). Here are some key USPs that can make a survey tool stand out:

1. **User-Friendly Interface**: An intuitive and easy-to-navigate design that allows users of all technical skill levels to create and distribute surveys effortlessly.

2. **Customizable Templates**: A wide range of professionally designed templates that can be easily tailored to match specific branding and survey requirements.

3. **Real-Time Analytics**: Instant access to real-time data and analytics, enabling users to track responses and insights as they come in, which facilitates quick and informed decision-making.

4. **Multi-Channel Distribution**: The capability to distribute surveys across various channels such as email, social media, SMS, and web embeds, allowing for a broader reach.

5. **Advanced Question Types**: A diverse selection of question types, including multiple choice, Likert scales, and open-ended questions, to cater to different research needs and improve data quality.

6. **Integration Capabilities**: Seamless integration with other tools and platforms like CRM systems, marketing automation, and analytics tools to streamline workflows and enhance data utility.

7. **Mobile Optimization**: Surveys that are fully optimized for mobile devices, ensuring that respondents can easily participate from their smartphones or tablets.

8. **Robust Security and Compliance**: Strong data protection measures and compliance with regulations such as GDPR and HIPAA to ensure user data is secure and private.

9. **Automated Reporting**: Automated generation of comprehensive reports that summarize findings, trends, and actionable insights, saving users time and effort.

10. **Collaboration Features**: Tools that allow teams to collaborate in real-time on survey design and analysis, making it easier to gather input from multiple stakeholders.

11. **Customer Support and Resources**: Exceptional customer support, along with resources such as tutorials, webinars, and best practice guides to help users maximize the tool's potential.

12. **Affordability and Scalability**: Flexible pricing plans that cater to businesses of all sizes, with the ability to scale as the organization grows.

13. **Feedback Loop Mechanism**: Tools to easily follow up with respondents, allowing for the collection of additional feedback and fostering customer engagement.

14. **A/B Testing**: The ability to run A/B tests on survey designs to determine which version yields better responses and insights.

15. **Multi-Language Support**: Offering surveys in multiple languages to cater to a diverse audience and enhance response rates.

These USPs can help a SaaS survey tool attract a wide range of users, from small businesses to large enterprises, by offering features that enhance usability, data quality, and integration capabilities.

[The End of Assistant's Response]

Please give feedback on the assistant's responses. Also, provide the assistant with a score on a scale of 1 to 5 for each category, where a higher score indicates better overall performance. Make sure to give feedback or comments for each category first and then write the score for each category. Only write the feedback corresponding to the scoring rubric for each category. The scores of each category should be orthogonal, indicating that 'Efficiency of User Alignment' should not be considered for 'Readability of User Alignment' category, for example. 

Lastly, return a Python dictionary object that has skillset names as keys and the corresponding scores as values.

[System]



Assistant: