KNO

1. What is KNO and its main features?

KNO is an AI-driven platform created by Alltius for conversational assistance in software products. Its main features include a Slack assistant for any question, a low code help widget, an in-product guide and companion, and an enterprise documentation search. It is built on OpenAI's GPT3 model which includes 800GB of information. The platform also includes a feature where users can prioritize knowledge from specific sources. KNO securely stores the questions asked, maintaining user privacy.

2. How does KNO help in guiding users in their product journeys?

KNO helps in guiding users in their product journeys by engaging them in conversation and responding to their inquiries. This is facilitated by its integration into Slack, where users can easily ask questions and receive answers. Furthermore, KNO's in-product guide and companion features aid users by providing assistance within the product itself. It has a low code help widget which simplifies the help process even further.

3. How is KNO integrated with Slack?

KNO is integrated with Slack as a conversational assistant. Users can interact with KNO directly in their Slack workspace, either in private conversation or by adding it to a channel. The Slack assistant feature of KNO is designed to answer any questions users may have.

4. What are the steps to install KNO on Slack?

To install KNO on Slack, users first need to log into their Slack workspace. Next, they need to open the 'Browse Apps' screen by clicking on the small '+' symbol next to the Apps tab on the Slack sidebar. In the final step, users search for and select KNO to get started.

5. Can I prioritize KNO knowledge from specific sources?

Yes, users can prioritize KNO knowledge from specific sources. This feature allows KNO to prioritize information from custom prescribed sources, potentially including the user's own help resources. This makes it customizable and able to adapt to the unique needs of its users.

6. How does KNO secure user data and maintain privacy?

KNO ensures data security and maintains privacy by keeping all questions asked within the system and never associating them with the user's identity. This ensures that conversations remain private and confidential.

7. What is the cost to use the KNO platform?

Using the KNO platform comes at absolutely no cost to users. The website confirms that KNO is free to use.

8. What is the growth rate of KNO’s user base?

KNO's user base has been experiencing a growth rate of 50% month on month. This robust growth rate is a testament to its popularity and usefulness.

9. How does KNO compare to the Google and Gong platforms?

One customer from a leading analytics automation company has compared KNO favorably to Google and Gong, stating KNO has the potential to become the next Gong and is even better than Google. Therefore, according to this specific testimonial, KNO compares very positively to both of these platforms.

10. Can KNO be trained on specific topics?

Yes, KNO can be trained on specific topics. Currently this feature is being developed, and users can reach out to the team for further discussions on this.

11. Who developed the KNO platform?

The KNO platform was developed by a team of engineers, data scientists, and designers from Alltius.

12. What is the source of data for training KNO?

KNO is trained on OpenAI's GPT3 model which includes 800GB of information, with the option for users to prioritize knowledge from specific, custom sources. The GPT3 model represents a broad swath of information, giving KNO extensive knowledge capabilities.

13. How does KNO handle customer support queries?

KNO handles customer support queries by providing direct responses to questions asked by users. If a conversation does not end conclusively, users are redirected to key personnel who can provide further assistance.

14. What measures does KNO take to ensure data security?

KNO ensures data security by ensuring that user queries remain within the algorithm and are never associated with user identity. This mechanism maintains the confidentiality of a user's interaction with KNO.

15. What is the user retention rate of KNO?

The user retention rate for KNO is at an impressive 86%. This means that more than 86% of returning users ask at least one query, indicating a high level of engagement and continued usability.

16. What have been the customer responses towards the KNO tool?

Feedback from pilot customers show positive reviews for KNO. The tool has been praised for its potential to become a major platform like Gong, its superiority over Google, and as a welcomed addition to a diverse set of tech environments.

17. How can users test or try out KNO?

Users can easily test KNO by adding it to their Slack workspace. The link to add KNO to Slack is provided on the Alltius website. Users can then engage in private conversations with KNO or add it to a Slack channel to begin testing.

18. What products and solutions does Alltius provide apart from KNO?

Apart from KNO, Alltius offers products like KNO Help, KNO Concierge, and KNO Insider. These tools represent different aspects of the software product journey, ranging from general help to specific in-product guidance and documentation search.

19. What kind of companies and sectors would find KNO useful?

KNO would be useful across a range of sectors like SaaS, Ed-Tech, and HR-Tech. Companies with products involving a steep learning curve, businesses that require automated applicant search and vetting, or entities that could benefit from AI-driven tutor augmentation for queries would find KNO particularly beneficial.

20. How can a product be enhanced using KNO?

A product can be enhanced using KNO by integrating it to provide conversational assistance. This offers users a quick and precise way to get answers to their queries, helping them better understand and utilize the product. This can lead to improved user experiences, which in turn can drive engagement and business growth.