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Jessica

Jessica is an AI requirements elicitation platform that streamlines project discovery by interviewing stakeholders asynchronously. It synthesizes their input, identifies conflicts, and prepares business analysts for more productive workshops. This tool helps formalize requirements and uncover areas of agreement or disagreement before meetings, ensuring teams focus on decision-making rather than information gathering. It enhances project delivery efficiency and stakeholder participation.

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Jessica is an AI-powered requirements elicitation platform developed by WORKSHOP IT, designed to simplify and accelerate the initial stages of project discovery. It addresses common challenges in traditional requirements gathering, such as repetitive information collection, scheduling conflicts, scope creep, and stakeholder distractions, by automating pre-workshop activities.

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The platform functions by conducting asynchronous interviews with project stakeholders. Using project context configured by a facilitator, Jessica asks adaptive follow-up questions to uncover what stakeholders want and why. It then converts these interview transcripts into specific, measurable requirements, capturing motives, nuances, and useful context. Jessica identifies themes and areas of agreement by comparing requirements across interviews, combining similar inputs into single, traceable requirements and showing the level of consensus.

A key capability of Jessica is its ability to highlight conflicting requirements and perspectives without attempting to resolve them automatically. This allows facilitators and business analysts to understand disagreements in advance, enabling them to prepare supporting data and focus workshop agendas on critical decisions. The tool complements existing project delivery processes, allowing outputs to be exported for use in other systems rather than requiring a complete replacement of current workflows.

Jessica is designed for a wide range of projects, supporting both current-state discovery (capturing how things work today) and new requirements elicitation. It aims to make it easier for stakeholders to contribute by allowing them to provide input at their convenience, reducing the need for everyone to attend multiple meetings. The user interface for stakeholders is familiar and requires minimal input.

WORKSHOP IT, the company behind Jessica, is committed to data protection and privacy. Their applications are hosted in region-specific environments (e.g., Australia for Australian customers, US for US customers) on Google Cloud, with data encrypted at rest and in transit. Importantly, WORKSHOP IT does not use customer content to train or fine-tune its AI models, emphasizing human oversight in how AI is applied to support professional judgment rather than replace it. Jessica is a flagship offering, with WORKSHOP IT planning to launch additional software solutions in the future.

  • CategoryAI Project Management
  • Pricing ModelFreemium
  • DeploymentCloud
  • PlatformsWeb

  • AI Stakeholder Interviews: Conducts asynchronous interviews with project stakeholders.

  • Adaptive Follow-up Questions: Asks intelligent follow-up questions based on participant responses.

  • Requirements Extraction: Converts interview transcripts into specific, measurable requirements.

  • Theme Identification: Identifies common themes and areas of agreement across interviews.

  • Conflict Detection: Highlights conflicting requirements and perspectives for pre-workshop review.

  • Workshop Preparation: Prepares business analysts with insights into stakeholder needs and conflicts.

  • Asynchronous Contribution: Allows stakeholders to provide input at their own time.

  • Output Export: Enables exporting of formalised requirements for use in other project tools.

  • Current-State Discovery: Supports interviews to capture existing processes and generate process flows.

  • Data Security: Encrypts customer data at rest (AES-256) and in transit (TLS 1.2+).

  • Regional Hosting: Provides region-specific application hosting for data residency compliance.

  • No AI Model Training with Customer Data: Customer content is not used to train or fine-tune AI models.

  • Human Oversight: AI-generated insights support human judgment, not replace it.

  • Project Context Configuration: Facilitators configure project context to guide AI questions.

  1. Identify Stakeholders: Define the key individuals involved in your project.

  2. Configure Project Context: Set up the project details and objectives within Jessica.

  3. Invite Stakeholders: Send invitations for asynchronous AI interviews.

  4. Review Outputs: Analyze extracted requirements, themes, and identified conflicts.

  5. Prepare for Workshop: Use insights to refine your agenda and focus on decision-making.

  6. Facilitate Workshop: Lead more productive discussions with pre-identified conflicts and agreements.

  • Pre-Workshop Preparation
  • Conflict Identification
  • Asynchronous Stakeholder Input
  • Formalizing Requirements
  • Current-State Analysis
  • Reducing Project Delays
  • Improving Workshop Efficiency
  • Enhancing Stakeholder Engagement

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