🏢 Company
Asana is a leading work management platform that helps teams organize, track, and manage their work
💻 Product
Asana's project boards has rich information on employees' skills in a company. By leveraging this, we can enable insights within an organization that can unlock productivity and make teamwork more efficient
📚 Hypothesis
While Asana isn't designed to collect skill data, it allows indirect insight gathering through task management and employee performance. This includes analyzing task handling, project involvement, and feedback within tasks, all of which provide indirect indicators of employees' skills and strengths
This tool taps into the rich yet underutilized 📄 data on employee roles and skills across teams
🏆 Top Projects
📊 Skill Distribution Analysis
🧑 Employee Summary
🤖 AI recommendation
Technical Bottleneck Analysis
Examine integration challenges with [specific API or system] and seek expert input
Targeted Training and Development
Examine integration challenges with [specific API or system] and seek expert input
Quantifying skill improvement
Examine integration challenges with [specific API or system] and seek expert input
Unbiased Decision-Making
Examine integration challenges with [specific API or system] and seek expert input
Predictive Analysis
AI can forecast future trends based on historical data, something that would be time-consuming and complex for humans
Continuous Learning
AI systems can continuously learn from new data, improving their recommendations over time
Let's now explore this tool in a specific use case, 📌 creating project plans
⏰ Time Savings
Automates the labor-intensive process of planning, allowing project managers to focus on strategic decision-making
💰 Efficient Resource Allocation
Identifies the optimal use of available resources based on skill levels
In the search tool,
enter the project title and a brief description for clarity and precision. Clear & concise input allows the AI to generate a more accurate and effective project plan
It automatically generates a detailed timeline
This includes dynamically adjusted skill levels based on the chosen collaborators, highlighting the varying strengths each member brings to the project. It provides insights into each collaborator's ongoing and past projects, leveraging historical data for informed decision-making
AI considers factors like
skill proficiency, project outcomes, and team dynamics to propose an optimal team composition. These are only suggestions, the final decision on team selection rests with the Project Manager, ensuring a balance between data-driven recommendations and human judgment
Pinpoints where delays or issues are occurring,
allowing for timely interventions. Visible progress can be motivating and affirming for team members
Identify other high performers
who might not be currently included in a project due to various reasons but can be
❗ Identify projects that are at risk and mitigate them quickly
👤 Ensure new projects are appropriately staffed with people increasing their odds of success
⚒️ Determine skillsets that need to be developed within an organization to make the company and teams more productive