⏱️ The Essentials in 3 Minutes |
🧠 Understand the Pedagogical Value of Business Context
Didask AI does not guess what an ambiguous message means. To formulate a relevant response, it needs to understand who is asking the question, in what environment, and with what vocabulary.
Without context, two identical messages from a developer and a sales rep will receive the same generic response, potentially unsuitable for both. With a well-populated context, the AI can interpret the same request differently and target the right information in your base. This is what transforms a generic assistant into a genuine business learning companion.
📚 Understand How the AI Uses Context to Search Your Base
When the AI receives a message from a learner, it formulates a hypothesis about their need before searching your knowledge base. To build this hypothesis, it draws on:
Company context: name, mission, product types, environments in which you operate
Lexicon: terms specific to your organization, acronyms, words used with a meaning different from common usage
Learner context: role, responsibilities, position in the organization (if the learner has filled it in)
📌 Concrete example: a collaborator on a client call writes "how do I activate the cf?". Without context, this message is incomprehensible to the AI. With a company context describing a logistics application, a glossary indicating that "CF" means "Custom Flow" (personalized transport flow), and a customer success manager profile, the AI can formulate the exact query in your base and find the relevant articles.
📝 Write Good Company Context
The company context describes the environment and challenges common to all your collaborators.
Include:
Your company name
Its missions
The types of products or services offered
Avoid:
Information only relevant to a specific group of employees
Data that changes regularly (number of clients, number of employees, generic figures)
Vague formulations about actual challenges ("we operate in 7 countries")
✏️ Write a Good Terminology Glossary
The glossary lists the precise terminology of your organization. Without it, the AI will use common meanings or make assumptions likely to generate errors.
Include:
Terms specific to your sector or company, especially those you would need to explain to someone from another industry
Words that have a different meaning from common usage in your organization
Internal acronyms and their definitions
Examples of terms to include: an acronym invented by your company for a process, a feature of a business software tool, a status specific to your organization.
Do not include:
Universal acronyms used by all companies
Specific but widely documented terms on the internet (e.g. GDPR, SEO)
🕵️ Encourage Learners to Fill In Their Personal Context
Each learner can add information about their role and responsibilities, and update it at any time. This personal context allows the AI to interpret requests based on each person's profile.
For example, a developer and a customer success manager do not need the same information when asking a question about a product. With a populated learner context, the AI adapts its responses accordingly.
When deploying Didask AI, communicate to your learners the value of taking a few minutes to specify their context: it directly improves the quality of the responses they will receive.
Keywords: business context, terminology, Didask AI, coach, learning assistant, personalization, request qualification.