Superhuman PMF example

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Roadmap

Build your roadmap by doubling down on what users love and addressing what holds others back.
You now know what users love — and you also know what holds users back. But how do you balance these? Vision-driven teams are apt to double down on what users love. Feedback-driven teams are apt to double down on addressing feedback. But it turns out that neither extreme is optimal.
If you only double down on what users love, your product/market fit score will not increase. If you only address what holds users back, your competition will likely overtake you.
You can use this philosophy to automatically generate a roadmap that will increase product/market fit!

Product roadmap

We decided to split our roadmap in half. We spent half our time doubling down on what our very disappointed users loved, and half our time on our speed-loving-yet-somewhat-disappointed users. We labeled every project with a cost and impact.
For the second half of the roadmap — addressing what held somewhat disappointed users back — the impact was clear from the number of requests. For the first half of the roadmap — doubling down on what people love — we intuited the impact.
To increase your product/market fit score, spend half your time doubling down on what users already love and the other half on addressing what’s holding others back.
Product Roadmap 2
Targeting
Feedback Theme
Feature keyword
See Responses
Reach (Survey Response Count)
Impact
Confidence
Effort
Score (RICE)
Very disappointed
More speed
speed
↗️
126
100%
189.0
More shortcuts
shortcut
↗️
128
70%
134.4
More automation
automate
↗️
1
10%
0.1
More design flourishes
design
↗️
16
20%
6.4
Somewhat disappointed
Developing a mobile app.
mobile
↗️
46
42%
19.3
Adding integrations.
integration
↗️
47
90%
21.2
Improving attachment handling.
attachment
↗️
15
100%
15.0
Introducing calendaring features.
calendar
↗️
55
70%
25.7
Creating a unified inbox option.
inbox
↗️
149
60%
59.6
Making search better.
search
↗️
35
50%
17.5
Rolling out read receipts.
receipts
↗️
19
30%
11.4


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