post

B2B product management

Artificial Intelligence (AI) & Machine Learning (ML)

Building Product Teams

Business Strategy

Data Driven Product Management

Digital Transformation

Diversity and Inclusion

Minimum Viable Product

OKRs

Prioritisation

Product Design

Product Research

Product Development Process

Product Ethics

Product Discovery

Product Leadership

Product Management Career

Product Strategy

Stakeholder Management

🌎 <a href="https://www.mindtheproduct.com/world-product-day/" style="color:#FFFFFF;text-decoration:underline;">Happy World Product Day!</a> Be sure to celebrate product, yourself, and your peers today! 🎉

Are you really understanding your users or going through the motions?

Why can’t we get accessibility right? Claire Bauden (SVP Global Product Design, Global Payments Inc.)

Ditch the PRD template and embrace the PRD checklist

How to price your subscription product: insights and examples

Can product operations and innovation be friends?

Footer About

Footer Contribute

Footer Get Involved

Footer Links

Mind the Product

Sunday Rewind: The good, bad, and ugly of OKRs by Jenny Herald

Product Management

Andres Phillips

<p>In this ProductTank New York talk, <a href="https://www.linkedin.com/in/tomersharon/" target="_blank" rel="noopener noreferrer">Tomer Sharon</a>, Managing Director, Head of User Research &amp; Metrics at <a href="https://www.goldmansachs.com" target="_blank" rel="noopener noreferrer">Goldman Sachs</a>, introduces us to Key Experience Indicators (KEIs).</p>
<p>The key points of his talk include:</p>
<ul>
<li>Framing</li>
<li>Principles</li>
<li>The Google HEART framework</li>
<li>Actions to take</li>
</ul>
<p>Watch the video to see Tomer’s talk in full. Or read on for an overview of his key points.</p>
<h2>Framing</h2>
<p>KEIs are quantitative scores for specific, important, and actionable phenomena related to using products or services. They are a type of user research method used after a product has launched and can be useful in helping teams move from launching products to landing products. In landing products, teams can find out if the product was successful, if users liked it and how they can go about getting repeat users.</p>
<h2>Principles</h2>
<p>The principles of using KEIs are as follows:</p>
<ul>
<li>Specific vs overall. Measure very specific things vs the overall satisfaction or engagement of a product. Try to hone in on things related to the critical user journey, especially when starting out.</li>
<li>In context vs out of context. Focus on finding the right people at the right time and in the right place.</li>
<li>Core vs perimeter. Measure only your core experiences and not everything. In many cases, this would be three but for other companies, there could be a lot more.</li>
</ul>
<h2>Google HEART Framework</h2>
<p>The Google HEART framework focuses on the areas of happiness, engagement, adoption, retention and task success. Tomer uses this framework to provide some key metrics that product people should focus on and some mistakes that are made in measuring them.</p>
<h3>Happiness</h3>
<p><span style="font-style: italic;">Metrics to measure: </span>the average satisfaction score and actual net promoter score. Learn how satisfied customers are with a product or if they recommended the product to a person in the last week, as opposed to at all like the NPS metric typically asks.</p>
<p><span style="font-style: italic;">Some of the mistakes made:</span> are not being specific, being out of context or overcomplicating things. Happiness cannot be explained using data, it only gives some guidelines. To get further clarification, product people need to go out and talk to customers.</p>
<h3>Engagement</h3>
<p><span style="font-style: italic;">Metrics to measure</span>: percentage of people to use the product at least once in a particular time frame, actions per user and time between action. Product people need to choose the right event to determine how engaged people are with a product.</p>
<p><span style="font-style: italic;">Some mistakes made are: </span>measuring everything and not being specific enough or assuming that engagement is different for B2B compared to B2C customers.</p>
<h3>Adoption</h3>
<p><span style="font-style: italic;">Metrics to measure:</span> adoption rate and time to first customer. Adoption can tell you how fast people are adopting a product or feature. It can provide insight into marketing efforts.</p>
<p><span style="font-style: italic;">Mistakes typically made:</span> are only measuring an overall adoption rate or confusing it with engagement.</p>
<h3>Retention</h3>
<p><span style="font-style: italic;">Metrics to measure</span>: retention rate, churn rate. Understand how many users are being retained.</p>
<p><span style="font-style: italic;">Mistakes made include:</span> choosing the wrong time frame to measure or the wrong event.</p>
<h3>Task Success</h3>
<p><span style="font-style: italic;">Metrics to measure</span>: success rate, time on task, lostness. Anything within a product that has a clear start and endpoint you can measure task success.</p>
<p><span style="font-style: italic;">Mistakes made include: </span>ignoring this measurement completely or asking customers about the success rate rather than measuring it.</p>
<h2>Actions</h2>
<p>Actions that product teams can take are to set goals for KEIs and use them to help evaluate planned changes. The key takeaway from this talk is that product managers need to measure experience to truly understand how a product is doing.</p>
<div class="g g-21"><div class="g-single a-170"><a class="gofollow" data-track="MTcwLDIxLDEsNjA=" href="https://www.pendo.io/pendomonium/"><img decoding="async" src="https://www.mindtheproduct.com/wp-content/uploads/2024/06/MTP-Footer_ad.png" /></a></div></div>

core/freeform

Frameworks

Unlocking the secrets of UX by Javier Andrés Bargas-Avila

Susana Lopes: Embracing a dual-track career ladder in product

Going from 0 to 1 in Product discovery by Merci Grace

From opinion-based to evidence-guided product development by Itamar Gilad

Make better decisions faster by Martin Eriksson

Key Experience Indicators for Product Managers by Tomer Sharon

The GIST Framework by Itamar Gilad

Critical Thinking for Product Teams by Teresa Torres

ProductTank Sydney

ProductTank Hamburg

ProductTank Exeter

ProductTank São Paulo

ProductTank Auckland

ProductTank Bratislava

ProductTank Brighton

ProductTank Santiago

ProductTank Tokyo

ProductTank Chicago

ProductTank Helsinki

ProductTank Berlin

ProductTank Belfast

ProductTank San Francisco

ProductTank Copenhagen

ProductTank Rotterdam

ProductTank Montréal

ProductTank New York

ProductTank Orlando

ProductTank Seattle

ProductTank Prague

ProductTank Bielefeld

ProductTank Köln

ProductTank Stockholm

ProductTank München

ProductTank Columbus

ProductTank Bangkok

ProductTank Tallinn

ProductTank Edinburgh

ProductTank Los Angeles

ProductTank Bristol

ProductTank Norwich

ProductTank Brno

ProductTank Barcelona

ProductTank Bucharest

ProductTank Pittsburgh

#mtpcon @ Pendomonium