Requirements Analysis Exercises | Uxcel

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Summarize and analyze content with AI

Summarize and analyze content with AI

AI’s Role in Text Generation and Modification

Vague summaries and recommendations

Vague summaries and recommendations

AI Limitations in User Research

Key resources

Key resources

Business Model Canvas

Get customer-facing teams to help with recruiting

Customer Interviews

Prerequisites to an OST

Prerequisites to an OST

Defining Opportunities

Interview your customer advisory board

Customer Interviews

Evaluate required skill sets and expertise

Evaluate required skill sets and expertise

Types of Team Structures

Assess your company’s needs

Assess your company’s needs

Hiring the Right Talents

Reframing solutions into opportunities

Reframing solutions into opportunities

Defining Opportunities

Evaluating the results of assumption tests

Assumption Testing

Requirements development

Developing a Shared Language

Link questions with opportunities

“How Might We” Exercise

Learn from failures

Learn from failures

Innovation Culture in Design Teams

Signs a problem needs AI solutions

Value Proposition & Problem Selection

When to update OSTs

Outlining Solutions

Documentation requirements

Documentation requirements

Audit Planning and Setup

Explore their social media

Explore their social media

Hiring the Right Talents

A competitive analysis matrix

A competitive analysis matrix

Market and Competitor Research

Defining and communicating product requirements

Core Responsibilities of a Product Manager

Balance data with intuition

Building Confidence With Data

Identifying competitors

Market and Competitor Research

Conducting market opportunity assessment

Your Product Vision and Strategy

Analyzing competitive landscape

Analyzing competitive landscape

Your Product Vision and Strategy

Cleaning and preparing datasets

Data Analysis with AI

Measure meaningfully

OKRs, KPIs, and North Star Metrics

Combine qualitative and quantitative insights

Combine qualitative and quantitative insights

Building Confidence With Data

Methodologies for forecasting social impacts

Methodologies for forecasting social impacts

Ethical & Societal Implications

Setting measurable goals with OKRs

Your Product Vision and Strategy

Defining your research objectives

Defining your research objectives

Market and Competitor Research

Impact metrics

The Role of Design in Government

Ask hypothesis-driven questions

How to Ask Good Data Questions

Support ticket analysis for insight gathering

Comprehensive Research Methods

Create actionable metrics

The Anatomy of Good (And Bad) Metrics

Make metrics accessible to all stakeholders

Make metrics accessible to all stakeholders

The Anatomy of Good (And Bad) Metrics

Connecting findings to business metrics

Findings Presentation

What product trade-offs are

Decision-Making and Trade-Offs

Ask better questions about data

Building Confidence With Data

Incorporating customer support insights

Incorporating customer support insights

Cross-Functional Collaboration

Analyzing emotional highs and lows in the journey

Analyzing emotional highs and lows in the journey

Customer Journey Mapping for Churn Prevention

Proactive vs reactive data analysis

Building Confidence With Data

Understand statistical significance

Building Confidence With Data

Building meaningful AI measurement frameworks

Building meaningful AI measurement frameworks

Measuring AI UX Success & Governance

Market research components

Market and Competitor Research

Synthesizing multi-perspective research data

Comprehensive Research Methods

Optimizing and iterating

Implementing Early Warning Systems

Find your funnel's bottleneck

Bottleneck Metrics

A SWOT analysis

A SWOT analysis

Market and Competitor Research

Learning from trade-off decisions

Decision-Making and Trade-Offs

The pain points layer

The pain points layer

Start with the context

How to Ask Good Data Questions