Paweł Huryn Profile picture
Jun 20 57 tweets 8 min read Read on X
The ultimate list of product metrics for PMs, June 2024 (PDF):

• Acquisition: How do users find you?
• Activation: How do they experience value?
• Engagement: How do they interact with your product?
• Retention: Do they stay with you?
• Revenue: How do you make money?
• Referrals: Do they tell others about your product?Image
1. Acquisition Metrics Image
Bounce Rate

The percentage of visitors who leave your website after viewing just one page. A high bounce rate may indicate issues with the landing page (e.g., messaging) or targeting.
Conversion Rate

The percentage of users who take a desired action, like signing up for a newsletter.
Landing Page Conversion Rate

The percentage of visitors who take a desired action on a specific landing page, like signing up or starting a trial, on a specific landing page.
Customer Acquisition Cost (CAC)

The cost of acquiring a new customer through marketing and sales efforts.
Channel Effectiveness

The success of each acquisition channel in driving traffic, sign-ups, or purchases.
Traffic Source Distribution

The breakdown of incoming user traffic by different sources, such as organic search, referrals, or paid ads.
Cost Per Click (CPC)

The cost incurred for each click on your ads. Helps in understanding the cost-effectiveness of your advertising campaigns.
Click-Through Rate

The percentage of people who click on your ad after seeing it. A higher CTR indicates more effective ads.
2. Activation Metrics Image
Time to Value (TTV)

The time it takes for a user to experience the core benefits of your product after starting to use it.

A shorter TTV leads to higher user satisfaction, engagement, and retention. In product-led growth, optimizing TTV is crucial to ensure users quickly understand the value your product delivers.
Onboarding Completion Rate

The percentage of users who complete the onboarding process successfully.
Onboarding Drop-off Rate

The percentage of users who start but do not complete the onboarding process.

Helps in identifying and improving weak points in the onboarding flow.
User Activation Rate

The percentage of users who successfully complete a certain milestone in your onboarding process.
Trial-to-Paid Conversion Rate

The percentage of trial users who convert into paying customers.
First-time User Conversion Rate

The percentage of first-time users who complete a desired action, such as creating an account or purchasing. This metric helps assess the effectiveness of the onboarding process.
Product Qualified Accounts (PQA)

“In product-led sales, the product determines Product Qualified Accounts (PQA) to indicate when an account is prepared for sales engagement and potential conversion.” – Elena Verna
Product Qualified Leads (PQL)

“PQLs, or Product Qualified Leads, are the people within the existing self-serve user base with buying power.” – Elena Verna
3. Engagement Product Metrics Image
Daily Active Users (DAU)

The number of unique users who engage with the product daily.
Monthly Active Users (MAU)

The number of unique users who engage with the product monthly.
Stickiness

The ratio of daily active users (DAU) to monthly active users (MAU), which indicates how often users engage with the product. Image
User Satisfaction (CSAT)

A measure of how satisfied users are with the product, often determined through surveys or in-app feedback (e.g., Pendo, Gainsight).

For a scale from 1 (extremely dissatisfied) to 5 (extremely satisfied): Image
Session Length

The duration of a user's interaction with the product during a single session.
Session Frequency

The average number of sessions per user within a specific time frame.
Feature Usage

The frequency and depth of usage for specific product features.
Customer Effort Score (CES)

Measures the ease with which customers can interact with your product or service. It is often determined by asking users to rate the effort required to accomplish a task or resolve an issue on a scale from very low to very high effort.

A lower CES indicates a more user-friendly product, which can lead to higher user satisfaction and loyalty.Image
Task Success Rate

The percentage of users who successfully complete a specific task or set of tasks within your product. This metric helps assess the usability and effectiveness of your product's features.
User Feedback Score

A quantitative measure of user satisfaction gathered through surveys, ratings, or reviews.

There isn't a single standardized method or rating scale. This could be a numeric scale (e.g., 1 to 5 or 1 to 10), a star rating, or a qualitative scale (e.g., poor, average, excellent).
4. Retention Product Metrics Image
Churn Rate

The percentage of users who stop using the product within a specific time period, e.g., monthly.
User Retention Rate

The percentage of users who continue using the product after a specific time period. Often monthly.
Cohort Retention Analysis

User Retention Rate analyzed across different user cohorts (e.g., sign-up month). Helps in understanding retention patterns over time.
User Renewal Rate

The percentage of users who renew their subscription or continue using the product after their initial contract period.
Customer Lifetime

The average time it takes for a user to stop using the product. Image
Product Adoption Rate

The percentage of users who adopt new features within a certain time frame after release.
Customer Health Score

A composite metric that combines multiple indicators, such as usage, satisfaction, and support interactions, to provide an overall assessment of the customer's relationship with the product.
4. Revenue Metrics Image
Average Revenue Per Account (ARPA)

The average revenue generated per account (customer) within a specific time frame. For example, monthly.
Customer Lifetime Value (CLV or LTV)

The total revenue a user generates during their entire relationship with the product. Image
Customer Profitability

The difference between the lifetime value of a customer (LTV) and the cost of acquiring them (CAC).
Monthly Recurring Revenue (MRR)

The predictable revenue generated by a subscription-based product every month.
Annual Recurring Revenue (MRR)

The annualized value of your MRR. Important for understanding long-term revenue projections.
Expansion Revenue

Additional revenue generated from existing customers through upsells, cross-sells, or add-on purchases.
Net Revenue Churn

The revenue lost due to customer cancellations, downgrades, or non-renewals within a specific time period, typically a month/year.
Net Revenue Retention

The cumulative sum of retained, contracted, and expanded revenue over a specific period, typically a month/year.
Average Contract Value (ACV)

The average revenue generated from each customer contract, which can help assess the effectiveness of pricing and packaging strategies.
Gross Margin

The difference between revenue and the cost of goods sold (materials, labor, distribution, sales). Indicates the profitability of your product.
5. Referral Metrics Image
Virality Coefficient

The number of new users acquired through referrals by existing users. Often expressed as a ratio (<1, 1, >1).
Customer Referral Rate

The percentage of customers who refer others to the product.
Referral Conversion Rate

The percentage of referrals that convert into active users.
Net Promoter Score (NPS)

A measure of customer satisfaction and loyalty based on how likely users are to recommend the product to others.

Warning: NPS measures customer attitude and sentiment, not the actual behavior. Image
Looks like threads can't handle so many posts :D

A free PDF (no paywall, no email): drive.google.com/file/d/17ITKjZ…
Don't try to track everything. Instead, focus on just a few key metrics.

How to do that?
Here are two free resources:

Are You Tracking the Right Metrics?

The North Star Framework 101 (PDF, 13 pages): productcompass.pm/p/are-you-trac…
theproductcompass.tech/nsm101pdf

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More from @PawelHuryn

Jun 10
Every PM should know the Double Diamond by heart.

But using it is an easy way to fail as a PM.

It’s a highly linear process without any feedback loops.

And it ends with launching a product. So, it doesn't represent Product Discovery.

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In the epic YouTube video, Natasha Jen referred to this linear process as “Bullsh*t,” arguing that creativity is much messier:



How to fix those issues?
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1. Add iterations

The first step is embracing the messy nature of product discovery, with many iterations possible at every step.
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Jun 6
User Stories are narratives that foster collaboration, guide development and drive meaningful outcomes.

But many use them as containers for requirements.

So here's User Stories 101:

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1. Why?

A User Story is written from the perspective of a user who wants to derive value from the product.

It should focus on the user's desired outcomes and be embedded in the context where the user seeks value from the product.
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2. How?

The basic format of a User Story:

WHO: As a [user type]
WHAT: I want [action to perform]
WHY: So that [the desired outcome]

A prerequisite to working with User Stories is understanding the users, ideally segmented by their needs and desired outcomes. Image
Read 15 tweets
Jun 4
Product Management is, at its heart, about managing risk.

But the risks at play are not obvious.

The extended classification beyond the famous "Value, Usability, Viability, and Feasibility:"

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Ethics: Should we do it at all?

Ethics is sometimes considered part of the Viability risk. Teresa Torres presents it as a separate category. Image
(3/9)

Go-to-market: Can we market it?

Go-to-market risk is often considered part of Viability risk. But I like presenting it separately for new products.

Many early experiments test how people will engage with our idea, not whether we can deliver the value promised. Image
Read 10 tweets
May 30
It's crazy what results PMs can get with ChatGPT-4o.

But just a few write good prompts.

(1/7)🧵 Image
(2/7)

The 9 most powerful techniques:

1. Communicate the Why
2. Explain the strategic context
3. Clearly state your objectives
4. Specify the key results (desired outcomes)
5. Provide an example or template
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6. Apply the thinking hats technique
7. Set constraints and limitations
8. Provide step-by-step instructions
9. Explain a specific technique (the Internet is often wrong)
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May 13
A Product Trio is a fundamental concept for product teams.

But contrary to what many believe, it is not:

- A framework to follow
- A strictly defined set of roles
- An exclusive group that performs product discovery alone

Three pieces of advice:
🧵 Image
1. Reject working in silos

You do not want silos in your Product Trio. Product Discovery is teamwork. Image
I loved insights from "Lean UX," in which Jeff Gothelf and Josh Seiden argue that while everyone has a core competency, allowing others to contribute in any area results in more engaged, more effective teams.

"Silos are the death of collaborative teams." - Lean UX Image
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May 1
A picture is worth a thousand words: OKRs vs. KPIs vs. Metrics

When comparing OKRs and KPIs, many forget a critical aspect - the relationships between them.

In short, the Key Results in the OKR always refer to quantitative metrics, some of which might be KPIs.

Let's dive into more details.Image
1. What are OKRs?

OKR stands for “Objectives and Key Results.” The 2 components:

- Objective (What, When): A qualitative, inspirational, time-bound goal for a team to focus on. Typically set quarterly.
- Key Results (What): Quantitative metrics (typically three) that monitor progress towards the Objective.
OKRs are about:

- Setting a single, inspiring goal.
- Empowering a team to determine the optimal way to achieve it.
- Continuously monitoring the progress, learning from failures, and improving.
Read 8 tweets

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