Hi there, we'll take this one step at a time!
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βIf you struggle with a blank canvas, use this boilerplate to start. Remember, this is a flexible resourceβtweak it as needed. Some sections might not apply to your product and you might come up with great ideas not listed here, don't let be restricted.
This is not the only format, we would love to see you scope out a great format for your product!
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Go wild and dive deepβwe love well-researched documents that cover all bases with depth and understanding.
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Do user calls to understand the customer for your product and come up with two ICP's.
(there are separate tables for both B2C and B2B products, put down your your ICPβs in a Table Format, use this as a reference.
This table makes it super clear for anyone to understand who your users are and what differentiates them. It also helps bring out the various details you have gone into understanding your users better)
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B2C Table
Criteria | User 1 | User 2 |
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Name | Young Professional / College student | Married Couple |
Age | 18-30 | 30-50 |
Demographics | Urban living in College Dorm or rented apartment | Suburban, owns a home, lives with partner, may have kids, working professional. works from home |
(refer the table below) | β | β |
Need | A good Quality Comfortable Mattress | A good quality of mattress for better sleep, better back support |
Pain Point | Need it delivered, Budget Restrictions | restless sleep, discomfort while sleeping, unconfortable back upon waking up |
Solution | Home delivery, Budget friendly mattress with decent support. Gauratnee / money back if they dont like the product | mattress that will be good and comfortable sleep. |
Behaviour | Reads reddit, online review, Instagram, | values friends and peers recomendations, does online research |
(refer the table below) | ||
Perceived Value of Brand | Modern, Trustable, | Trustable, proven, comfortable that will give better sleep |
Marketing Pitch | 365 Days trial, 40% discount | Trusted by 5.5 Million American Sleepers. 365 days trial and 40% discount |
Goals | Purchase mattress | Purchase mattress |
Frequency of use case | daily | Daily |
Frequency of purchase | once in 2-4 years | once in 5-7 years |
Average Spend on the product | $250 single or queen | $700-$1500 for Queen or King |
Value Accessibility to product | Prefers online shopping, easy delivery to dorm/apartment | Prefers both online and in-store, wants to try in store but wants free delivery. values trial periods and warranties |
Value Experience of the product | Prioritizes comfort and ease of setup | Prioritizes support, comfort, and durability |
Notes | β | Chiropractors, doctors recomend to change the mattress for better sleep and back support |
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I skipped the user validation and interview as the above JTBD and ICP were build after user inteviews, research, I was part of
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This journey captures the key touchpoints and decision-making processes for potential NectarSleep customers.
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What should the teardown include?β
The entire onboarding process. Just like we did in the deep dive session
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Hereβs a list of things weβd recommend you evaluate your onboarding on:
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Also, evaluate your onboarding on the cognitive biases.
Don't worry, you don't have to include biases but it's a good practice to start tagging things to their respective biases.
(We identify issues when we are able to tag/name them, yes another bias)β
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This is scrolling capture above the fold.
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Hypothesize at least 5 activation metrics that could be there for your product. (More the better)
Example format for your hypothesis:
Hypothesis 1: <Enter your one/two lines>
Reasoning: In about 5-6 lines explain why this could be an activation metric
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Hypothesis 1:
User visits the compare pages with other brands available on the website.
Reasoning:
This suggests that the user is in the final stages of decision-making and is comparing NectarSleep with competitors, indicating a strong purchase intent.
Hypothesis 2:
User clicks on the mattress size guide (top of the fold).
Reasoning:
Engagement with the size guide shows the user is moving from general interest to specific consideration, a key step towards making a purchase decision.
Hypothesis 3:
User initiates chat or call with customer support.
Reasoning:
This interaction indicates that the user is seeking reassurance or additional information before finalizing their decision, which is a strong sign of intent to purchase.
Hypothesis 4:
User adds a product to the cart to check the final price.
Reasoning:
Adding a product to the cart for price-checking shows the user is seriously considering a purchase and is likely comparing the final cost with other options, making this a critical point in the buying process.
βHypothesis 5:
User subscribes to the email newsletter in anticipation of getting a deal or offer.
Reasoning:
Subscribing to the newsletter, especially with the hope of receiving a deal or discount, shows that the user is interested in the product and is looking for the right opportunity to make a purchase. This action indicates high intent and engagement, as the user is now waiting for the right moment to convert.
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After this, mention in detail all the metrics you'd be trackingβ
Given the nature of an e-commerce site where mattresses are typically purchased every few years, the following metrics should be tracked:
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Click Data Usage:
This data can be leveraged to send more aggressive email offers, trigger website pop-ups, or deliver personalized targeted ads through direct email, enhancing the chances of conversion based on user behavior.
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