Platform

AI

AI Agents
Sense, decide, and act faster than ever before
AI Visibility
See how your brand shows up in AI search
AI Feedback
Distill what your customers say they want
Amplitude MCP
Insights from the comfort of your favorite AI tool

Insights

Product Analytics
Understand the full user journey
Marketing Analytics
Get the metrics you need with one line of code
Session Replay
Visualize sessions based on events in your product
Heatmaps
Visualize clicks, scrolls, and engagement

Action

Guides and Surveys
Guide your users and collect feedback
Feature Experimentation
Innovate with personalized product experiences
Web Experimentation
Drive conversion with A/B testing powered by data
Feature Management
Build fast, target easily, and learn as you ship
Activation
Unite data across teams

Data

Warehouse-native Amplitude
Unlock insights from your data warehouse
Data Governance
Complete data you can trust
Security & Privacy
Keep your data secure and compliant
Integrations
Connect Amplitude to hundreds of partners
Solutions
Solutions that drive business results
Deliver customer value and drive business outcomes
Amplitude Solutions →

Industry

Financial Services
Personalize the banking experience
B2B
Maximize product adoption
Media
Identify impactful content
Healthcare
Simplify the digital healthcare experience
Ecommerce
Optimize for transactions

Use Case

Acquisition
Get users hooked from day one
Retention
Understand your customers like no one else
Monetization
Turn behavior into business

Team

Product
Fuel faster growth
Data
Make trusted data accessible
Engineering
Ship faster, learn more
Marketing
Build customers for life
Executive
Power decisions, shape the future

Size

Startups
Free analytics tools for startups
Enterprise
Advanced analytics for scaling businesses
Resources

Learn

Blog
Thought leadership from industry experts
Resource Library
Expertise to guide your growth
Compare
See how we stack up against the competition
Glossary
Learn about analytics, product, and technical terms
Explore Hub
Detailed guides on product and web analytics

Connect

Community
Connect with peers in product analytics
Events
Register for live or virtual events
Customers
Discover why customers love Amplitude
Partners
Accelerate business value through our ecosystem

Support & Services

Customer Help Center
All support resources in one place: policies, customer portal, and request forms
Developer Hub
Integrate and instrument Amplitude
Academy & Training
Become an Amplitude pro
Professional Services
Drive business success with expert guidance and support
Product Updates
See what's new from Amplitude

Tools

Benchmarks
Understand how your product compares
Templates
Kickstart your analysis with custom dashboard templates
Tracking Guides
Learn how to track events and metrics with Amplitude
Maturity Model
Learn more about our digital experience maturity model
Pricing
LoginContact salesGet started

AI

AI AgentsAI VisibilityAI FeedbackAmplitude MCP

Insights

Product AnalyticsMarketing AnalyticsSession ReplayHeatmaps

Action

Guides and SurveysFeature ExperimentationWeb ExperimentationFeature ManagementActivation

Data

Warehouse-native AmplitudeData GovernanceSecurity & PrivacyIntegrations
Amplitude Solutions →

Industry

Financial ServicesB2BMediaHealthcareEcommerce

Use Case

AcquisitionRetentionMonetization

Team

ProductDataEngineeringMarketingExecutive

Size

StartupsEnterprise

Learn

BlogResource LibraryCompareGlossaryExplore Hub

Connect

CommunityEventsCustomersPartners

Support & Services

Customer Help CenterDeveloper HubAcademy & TrainingProfessional ServicesProduct Updates

Tools

BenchmarksTemplatesTracking GuidesMaturity Model
LoginSign Up

Product Discovery: Definition, Benefits, and Techniques

Learn about the five phases of product discovery and key techniques to optimize your discovery process.
Insights

Apr 5, 2024

13 min read

Pragnya Paramita

Pragnya Paramita

Former Group Product Marketing Manager, Amplitude

A team using product discovery techniques

Product discovery is a process that helps you decide what products and features to prioritize and build. It involves researching customers to understand their pain points and ideating and testing solutions to ensure you create products that meet their needs and solve their problems.

Key takeaways

  • Product discovery helps you determine which features or products to build.
  • Product discovery helps you make decisions based on what customers want rather than intuition and assumptions.
  • With product discovery, you can better understand customer needs, so you build products with a great user experience and avoid wasting resources on unsuccessful features.
  • There are five main phases of product discovery: understanding users, defining a user problem, ideating a solution, creating a prototype, and testing and refining the prototype.
  • Product discovery techniques include interviewing customers, analyzing behavioral data, brainstorming, and creating a minimum viable product.

What is product discovery?

Product discovery involves understanding what users need and want to determine the best products and features to build. Once you’ve identified the fundamental problem a product or feature should solve, the next step is developing a potential solution and testing its validity to ensure it’s the right product for the target audience.

Although product discovery is often associated with building something new, it should be an ongoing process of listening to users. Your customers’ habits and expectations are ever-changing, and continuous discovery enables you to tweak and update products to maintain and increase their satisfaction.

Benefits of product discovery

Without a product discovery process, you risk developing a product that doesn’t solve your customer’s needs and will go unused. In short, product discovery:

  • Saves time and money: The insights gleaned ensure you only develop products that solve a real customer problem, which reduces risk and mitigates useless resource spend.
  • Helps create lovable products that are good for business: A robust product discovery process can help you create a more sticky product or feature, resulting in reduced customer churn—which is good for business.
  • Stops reliance on intuition and assumptions: If you skip or rush product discovery, you risk making product decisions based on what you assume customers want rather than what they actually want.
  • Guides product roadmap and build: Clarity about the user problem you’re solving makes you more effective throughout development. You can refer to the information you gathered during discovery when making a product design decision.

The product discovery process, step-by-step

Product discovery is all about understanding customer needs and validating potential solutions before investing resources into product development. There are five key phases, each with distinct activities that enable you to complete each step effectively.

1. Understand your users.

Creating customer-centric products requires research and talking to your customers and target audience to determine their needs.

Conduct customer surveys and interviews

The quickest way to find out what customers want is to ask them directly. Start your discovery process by listening to them via surveys and user interviews.

A customer survey is a quick and easy way to gather customer data. However, because your existing beliefs will shape the questions you ask, a survey can often limit your discovery.

To increase completion rates and ensure respondents give detailed and high-quality answers, limit the number of questions and aim to create a survey that people can answer in 10 minutes or less.

Interviews and focus groups, in contrast, allow for wide-ranging discussions. They’re more time-consuming than surveys but let customers give more detailed responses. Plus, you can immediately ask any clarifying questions.

Keep the mood of the interviews informal and ask open-ended questions to encourage people to express themselves freely. Run focus groups with around five to 10 people. That way, everyone has time to share their insights, but you still have enough people to generate a range of opinions.

Ask customers about:

  • Themselves: Build customer personas for your audience by learning their industry, work level—for example, individual contributor or manager—and habits.
  • Their pain points: Get more detail about their problems by asking about the most challenging issue they face, what makes it so frustrating, the solutions they’ve already tried, and why solutions failed.
  • Your product: If you have an existing product, ask your users why they chose it, how they’re using it, and what they’d change about it.

Analyze customer behavior

Customers can’t always articulate what they want or need. If you have an existing product, behavioral analytics can give you objective data about how people use it. You can mine that data to discover why and how customers use your product and identify potential unmet needs.

For instance, if you discover customers use your product for a specific use case, consider expanding its functionality or building a new feature tailored to that use case.

Or imagine you have an app that enables people to track to-do lists and habits, and you discover that many customers also use it to create meeting agendas. In this case, you could make an agenda feature or add a specific agenda template to your to-do list templates.

You can also use the behaviors associated with customer churn to spot friction points in your app. You can build something new or update an existing feature to address areas of your product that result in a poor user experience.

2. Define the user's need or problem.

Pull a pain point from your user research and work it into a single problem statement for each product or feature to guide your development process.

Condensing the problem your new product or feature will solve into a single customer problem statement will help create a shared understanding for everyone on the team. That way, everyone knows what they’re working towards.

To start, pull out the most common theme or pain point you identify in your research. The more precisely you can state the problem, the better. Keep your statement concise, but make sure it includes:

  • What the problem is
  • Who faces the problem
  • Why the problem exists
  • The impact of the problem

Problem statement examples

Below are two examples of fictitious customer problem statements.

  • Social media analytics solution: Social media marketers want to track the impact of their social media posts, but since they post across multiple channels, it’s time-consuming and complicated to retrieve and compile the data. Doing this task manually is frustrating because it takes time they could spend doing more impactful, creative work like brainstorming new post ideas.
  • Online meeting scheduling app: Sales teams want to share a calendar link so people can book meetings with them. They’re happy to have internal calls with people in their org at any time during their working day, but they only want to have sales calls during specific hours. Our current platform only allows them to share the same availability with everyone, leading to them canceling sales calls or having the calls at less-than-optimal times, which is stressful.

3. Ideate a solution.

A successful product or feature solves a customer problem. In the ideation phase, you brainstorm to develop multiple product ideas and prioritize the most effective ones.

Run a brainstorming session

Brainstorming sessions help people think freely to develop more innovative solutions.

In the session, focus on quantity over quality. The more ideas you develop, the better your chance of finding the perfect solution. Plus, you’ll trim down and refine your list of ideas later.

For efficient brainstorming, keep the session focused on your problem statement and make it time-bound—aim for around 30 minutes. Gather team members from different departments in your organization to the session, like UX, design, and analytics. Each will add distinct skill sets and perspectives to your ideation.

Apply the ICE framework to prioritize solutions

Now that you have a list of possible solutions, you need to choose one. The Impact-Confidence-Ease (ICE) framework is an effective way of grading ideas to find the best one.

Sean Ellis developed the ICE framework to help startups grow. The framework considers how the product will impact users and the feasibility of creating it. For each of the solutions, assign a score from 0-10 for its:

  • Impact: How much will it help the user solve their problem? Or, if you're deciding between multiple issues, which problem will have the most impact when resolved?
  • Confidence: How confident are you that it will work?
  • Ease: How easy will development be?

Multiply the three scores together to get the overall score for each solution. Then compare the scores of the different solutions and take the highest-scoring to the prototyping stage.

Even though the framework doesn’t give you an objective answer—because impact, confidence, and ease are subjective measures—it’s a quick way of prioritizing solutions.

4. Create a prototype.

A prototype or minimum viable product enables you to test if your solution works for customers without spending excessive time or money building the entire product or feature.

A minimum viable product (MVP) is a concept from agile software development that enables you to validate your solution without investing time and resources into building it entirely. Create a version of your solution that requires as little effort as possible while still being high quality enough for customers to assess it accurately.

Typically, an MVP should take around three months to complete. As far as possible, exclude the most time-consuming elements to build.

Airbnb’s MVP involved a simple website with only one listing, which was enough to validate their solution—people can book to stay in strangers’ homes as an alternative to hotels. However, it didn’t include complex features like a database of several listings or an online payment system.

5. Test and refine.

Tests help you learn what to change or update about your solution before building the final product or feature.

The simplest way to conduct usability testing is to solicit customers to try your MVP and provide feedback. As with the initial research stage, collect qualitative data from customer interviews and surveys. Analyze behavioral data to see how users interact with the product and if you’ve reached the desired outcome.

Rapid Iterative Testing and Evaluation (RITE) is a type of usability testing in which you immediately act on feedback, update the product, and re-test. The advantage of RITE is that because you go through several rounds of testing and iteration, you can be confident that you’ve got a successful product before you launch. You can move to the product development process once you’re satisfied that your product or feature solves your customer problem statement.

The best product analytics tools include experimentation capabilities to make this process more efficient. For example, Amplitude Experiment enables you to track and analyze the impact of the changes you make to your product so that you can make product decisions based on customer data. With Experiment, you can take rapid action against those insights by planning, executing, and analyzing sophisticated experiments to make better decisions that drive impactful results.

Take your product discovery to the next level

Within this framework, each organization's product discovery process will look different, and product management expert Tim Herbig recommends developing your custom process to fit the needs of your team.

However, all organizations do have one thing in common regarding product discovery: Amplitude can make the entire process more efficient, reliable, and agile.

Ready to take your product discovery to the next level?

Get started with Amplitude’s free plan to unlock insights into customer behavior and experiment solutions today




About the author
Pragnya Paramita

Pragnya Paramita

Former Group Product Marketing Manager, Amplitude

More from Pragnya

Pragnya is a former Group Product Marketing Manager at Amplitude. She led the go-to-market efforts for data management products. A graduate of Duke University's Fuqua School of Business, she is passionate about working at the intersection of business and technology and when time allows, cooking up a storm with cuisines from all over the world.

More from Pragnya
Topics

Product Strategy

Product Releases

101

Platform
  • Product Analytics
  • Feature Experimentation
  • Feature Management
  • Web Analytics
  • Web Experimentation
  • Session Replay
  • Activation
  • Guides and Surveys
  • AI Agents
  • AI Visibility
  • AI Feedback
  • Amplitude MCP
Compare us
  • Adobe
  • Google Analytics
  • Mixpanel
  • Heap
  • Optimizely
  • Fullstory
  • Pendo
Resources
  • Resource Library
  • Blog
  • Product Updates
  • Amp Champs
  • Amplitude Academy
  • Events
  • Glossary
Partners & Support
  • Contact Us
  • Customer Help Center
  • Community
  • Developer Docs
  • Find a Partner
  • Become an affiliate
Company
  • About Us
  • Careers
  • Press & News
  • Investor Relations
  • Diversity, Equity & Inclusion
Terms of ServicePrivacy NoticeAcceptable Use PolicyLegal
EnglishJapanese (日本語)Korean (한국어)Español (Spain)Português (Brasil)Português (Portugal)FrançaisDeutsch
© 2025 Amplitude, Inc. All rights reserved. Amplitude is a registered trademark of Amplitude, Inc.
Blog
InsightsProductCompanyCustomers
Topics

101

AI

APJ

Acquisition

Adobe Analytics

Amplify

Amplitude Academy

Amplitude Activation

Amplitude Analytics

Amplitude Audiences

Amplitude Community

Amplitude Feature Experimentation

Amplitude Guides and Surveys

Amplitude Heatmaps

Amplitude Made Easy

Amplitude Session Replay

Amplitude Web Experimentation

Amplitude on Amplitude

Analytics

B2B SaaS

Behavioral Analytics

Benchmarks

Churn Analysis

Cohort Analysis

Collaboration

Consolidation

Conversion

Customer Experience

Customer Lifetime Value

DEI

Data

Data Governance

Data Management

Data Tables

Digital Experience Maturity

Digital Native

Digital Transformer

EMEA

Ecommerce

Employee Resource Group

Engagement

Event Tracking

Experimentation

Feature Adoption

Financial Services

Funnel Analysis

Getting Started

Google Analytics

Growth

Healthcare

How I Amplitude

Implementation

Integration

LATAM

Life at Amplitude

MCP

Machine Learning

Marketing Analytics

Media and Entertainment

Metrics

Modern Data Series

Monetization

Next Gen Builders

North Star Metric

Partnerships

Personalization

Pioneer Awards

Privacy

Product 50

Product Analytics

Product Design

Product Management

Product Releases

Product Strategy

Product-Led Growth

Recap

Retention

Startup

Tech Stack

The Ampys

Warehouse-native Amplitude

Recommended Reading

article card image
Read 
Product
Getting Started: Product Analytics Isn’t Just for Analysts

Dec 5, 2025

5 min read

article card image
Read 
Insights
Vibe Check Part 3: When Vibe Marketing Goes Off the Rails

Dec 4, 2025

8 min read

article card image
Read 
Customers
How CAFU Tripled Engagement and Boosted Conversions 20%+

Dec 4, 2025

8 min read

article card image
Read 
Customers
The Future is Data-Driven: Introducing the Winners of the Ampy Awards 2025

Dec 2, 2025

6 min read

Explore Related Content

Integration
Using Behavioral Analytics for Growth with the Amplitude App on HubSpot

Jun 17, 2024

10 min read

Personalization
Identity Resolution: The Secret to a 360-Degree Customer View

Feb 16, 2024

10 min read

Product
Inside Warehouse-native Amplitude: A Technical Deep Dive

Jun 27, 2023

15 min read

Guide
5 Proven Strategies to Boost Customer Engagement

Jul 12, 2023

Video
Designing High-Impact Experiments

May 13, 2024

Startup
9 Direct-to-consumer Marketing Tactics to Accelerate Ecommerce Growth

Feb 20, 2024

10 min read

Growth
Leveraging Analytics to Achieve Product-Market Fit

Jul 20, 2023

10 min read

Product
iFood Serves Up 54% More Checkouts with Error Message Makeover

Oct 7, 2024

9 min read