Data can help product managers analyze features, provide insights to customers, and inform roadmap decisions, but it has limitations and should be supplemented with direct customer conversations; analyzing an internal dataset can help identify ideal customers but the most important lessons are learned from talking directly with customers.

1. Lessons learned when using data in our
company
Twitter: @rogierschutte, @SRXP_

2. Our start

3. Expense chaos solved

4. Ma·nus·je-van-al·les (het; o; meervoud: manusjes-van-alles) = Jack of all trades
Me at SRXP
Design
Sales
Customer success
Product management
1
3
2
4

5. Data in product management
Analyse features
Giving back insights to customers
Roadmap decisions
1
2
3

6. VAT reclaim
Claim to tax authorities
VAT RulesExpenses

7. Giving back insights to customers1
Process optimization Insights
Save time Save actual money

8. Data for roadmap decisions2
Lesson: Only short term. Not all information
Money that we can earn with it
Customers that are blocked by feature
Amount of customers wanting the feature

9. Analysis of features3
Lesson: Keep talking to customers!
Use our own dataset
Find the ideal customer

10. SRXP is the first expense tool that is approved
by the DNB
10

11. Contact us
Pieter Rogier Mark
Twitter: @rogierschutte, @SRXP_