Notion Features

Create and assign tasks for individual users with details and due dates.

Set deadlines and milestones for tasks, manually or automatically (based on project templates).

Set priority levels on tasks so individuals can organize their work.

Each user can view their list of tasks to be completed without having access to other tasks.

Define dependencies between tasks and the rules to manage them.

Allows users to update multiple tasks at the same time, accross multiple projects.

Users can move tasks and change dependencies using drag and drop.

Define recurring tasks that can be scheduled automatically at pre-defined intervals.

Plan and create work breakdown structure (WBS) based on the scope of the project.

Projects can be mapped out with milestones, due dates, deliverables and interdependencies.

Provide visual representations of tasks, dependencies, and progress.

Planned projects are mapped to a schedule with due dates and deliverables detailed day-by-day.

Create customized project views for internal and external purposes (eg: for customers).

Associate a budget with a project and allocate it accordingly by task or resource.

Track issues at the project or task level, and manage resolutions.

Provide standards templates that can be customized by users to create new projects.

Automatically calculate the critical path for projects and update it when projects change.

Track time and expenses associated with projects or tasks.

Support agile and waterfall project management methodologies.

Create human and material resources and categorize them based on skills and other criteria.

Monitor capacity in real time to track resource use and identify bottlenecks.

Allocate resources by matching capacity and demand, by project, team, or department.

Track key performance indicators or baseline assessments throughout project lifecycle or across multiple projects.

Monitor resource allocation to identify shortages and adjust accordingly.

Deliver dashboards that display project data and KPIs in real time.

Uses LLMs to generate dynamic responses within defined boundaries and business-safe content rules.

Maintains context across user turns in a single session to provide coherent, relevant responses.

Understands varied user phrasing and infers intent without relying solely on keywords or scripts.

Supports building conversational flows using predefined paths, rules, and decision trees.

Provides fallback messages or guidance when the bot cannot understand or fulfill a query.

Checks for grammar errors like misspellings, sentence run-on, etc.

Evaulates emotional tone of words written.

Ensures sentences are formatted properly.

Checks for instances of plagirism.

Evalutes that work has been done within the guildlines of a given writing style (MLA, APA, Chicago, etc.).

Finds and formats citations for works mentioned.

Recommends ideas for topics based on the content written.

Generates sentences, paragraphs, or papers based on sample text or a topic.

Generates a form based on information presented.

Application is available as a standlone product.

Application is available as a plugin used with another document creation product.

Provides pre-made templates for wiki pages and knowledge articles.

Allows users to leave feedback within a wiki page or knowledge article.

Allows users to see version history and return to previous versions of wiki pages.

Detects any creation of already existing knowledge pages and alerts user

Enables users to create rich knowledge pages with a combination of text, charts, images, video and audio

Allows administrators to provide permissions and gate pieces of content based on role.

Offers additional tools that facilitate knowledge sharing and collaboration.

Notifies users when changes occur.

Offers AI-based search capabilities

Allows users to capture knowledge from the web

Allows knowledge pages to be organized into sections and subsections as needed

Integrated with other tools to faciliate the sharing of information

Integrates with other knowledge repositories in the business

Provides API access to connect with proprietary business systems or internal data sources.

Offers embeddable widgets or SDKs for integration into websites, apps, or third-party tools.

Allows non-developers to configure and design chatbot flows via visual or no-code interfaces.

Ability to search across different data sources, such as databases, intranets, and applications.

Offers search for a variety of file types.

Ability to search in multiple languages without any additional work required.

Ability of search to handle typos.

Allows the end user to filter and refine search results.

Ability to define synonyms for search terms.

Allows the user to see highlighted results to see which words or phrases match the search query.

Allows the user to search in a natural, intuitive manner.

Gives the user targeted, personalized results based on their activity or preferences.

Allows the user to understand how other users are using the search functionality through dashboards, KPIs, etc.

Ability to plug the search capabilities into other applications or tools.

Provides personalized responses to interlocator based on segmentation or past responses.

Has tools (e.g. dashboards and reports) to better understand conversations Intelligent Virtual Assistants have had.

Can have a natural, human-like conversation with an interlocator.

Allows business to edit conversations to meet the unique needs of one's business.

Gives users the ability to update systems, like CRM, based on conversations.

Allows users to maintain and observe the accuracy and viability of Intelligent Virtual Assistants.

Ensures consistent performance, delivering reliable outputs based on user prompts.

Implements stringent measures to protect user data and ensure privacy.

Shows adeptness in comprehending and responding to complex or multi-part queries.

Facilitates natural and human-like conversations, delivering engaging interaction experiences.

Demonstrates a sophisticated understanding of both written and spoken user commands.

Exhibits proficiency in maintaining and utilizing context throughout a conversation.

Offers a high degree of customization to meet individual user or business requirements.

Features robust learning mechanisms, improving responses over time based on past user interactions.

Showcases the ability to recognize, correct, and learn from its own mistakes.

Displays creativity in generating diverse, interesting, and contextually relevant responses.

Produces content that is accurate, factually correct, and relevant to the user's query.

Evaluates the chatbot's ability to provide flexible APIs for custom integrations and functionality expansions.

Regularly receives updates that contribute to continuous improvement of the product.

Assesses the chatbot's ability to function seamlessly across various platforms and devices.

Seamlessly integrates with other platforms or software systems, enhancing overall utility.

Allows users to generate text based on a text prompt.

Condenses long documents or text into a brief summary.

Allows users to generate text based on a text prompt.

Condenses long documents or text into a brief summary.

Allows users to generate text based on a text prompt.

Condenses long documents or text into a brief summary.

Allows users to automate responses to customer inquiries across various channels.

Allows users to automate responses to customer inquiries across various channels.

Allows users to automate the process of generating and qualifying sales leads.

Allows users to automate the handling, processing, and management of documents.

Provides users the ability to automate the collection and analysis of feedback from customers, employees, or other stakeholders.

Allows the AI agent to learn from interactions and adapt its responses accordingly.

Allows the AI agent to learn from interactions and adapt its responses accordingly.

Provides the AI agent the ability to execute tasks without requiring constant user input.

Allows the AI agent to identify and resolve issues without user intervention.

Supports configuration using natural language instructions.

Allows users to customize the tone of agent.

Enables definition of clear security guardrails for agent actions.

Provides support across web, mobile, messaging apps, and other channels.

Allows customization of agent branding, including visual appearance and conversational style.

Equips agents with proactive response capabilities based on predefined triggers.

Facilitates seamless escalation to human employees for complex issues.

Provides analytics and reporting on agent performance and interactions.

Offers agents the ability to maintain contextual awareness across interactions.

Ensures compliance with data privacy and governance requirements.

Automates workflows and actions based on agent responses.

Allows the use of APIs for advanced agent configuration.

Enables interoperability with multiple platforms for unified experiences.

Allows integration with CRM data to ground agent responses in business context.

Capability to perform complex tasks without constant human input

Ability to break down and plan multi-step processes

Works across multiple software systems or databases

Improves performance based on feedback and experience

Engages in human-like conversation for task delegation

Anticipates needs and offers suggestions without prompting

Makes informed choices based on available data and objectives

Capability to perform complex tasks without constant human input

Ability to break down and plan multi-step processes

Works across multiple software systems or databases

Improves performance based on feedback and experience

Anticipates needs and offers suggestions without prompting

Makes informed choices based on available data and objectives

Improves performance based on feedback and experience

Engages in human-like conversation for task delegation

Anticipates needs and offers suggestions without prompting

Capability to perform complex tasks without constant human input

Ability to break down and plan multi-step processes

Works across multiple software systems or databases

Improves performance based on feedback and experience

Engages in human-like conversation for task delegation

Anticipates needs and offers suggestions without prompting

Makes informed choices based on available data and objectives

Capability to perform complex tasks without constant human input

Embed generative (RAG) capabilities for enhanced answer generation using retrieved content

Allow tuning relevance and ranking through machine-learning or Learning-to-Rank models

Enable the system to understand and interpret natural-language queries

Offers search for a variety of file types.

Ability to search across different data sources, such as databases, intranets, and applications.

Ability to search in multiple languages without any additional work required.

Gives the user targeted, personalized results based on their activity or preferences.

Allows the user to understand how other users are using the search functionality through dashboards, KPIs, etc.

Ability to plug the search capabilities into other applications or tools.

Allows the user to see highlighted results to see which words or phrases match the search query.

Allows the end user to filter and refine search results.

Ability of search to handle typos.

Ability to define synonyms for search terms.

Enables tuning or updating chatbot behavior based on user feedback or admin input (non-live learning).

Includes safeguards to restrict inappropriate responses and ensure compliant language use.