User Research & Validation Plan
Key Assumptions to Validate
| Assumption | Risk | Method | Target |
|---|---|---|---|
| Developers experience pain from unexpected API changes | High | Customer interviews, surveys | 80% confirmation |
| Current solutions (manual checks, Dependabot) are inadequate | Medium | Competitor analysis, user feedback | 60% dissatisfaction |
| API monitoring as a service will be adopted by dev teams | High | Landing page test, pre-orders | 10+ paying customers |
| Security-focused messaging resonates with enterprise customers | Critical | Interviews with security personnel | 90% interest |
Customer Discovery Interview Guide
Introduction and background (5 minutes):
- Tell me about your role and what you do day-to-day.
- How do you currently handle API changes and updates?
Problem exploration (20 minutes):
- Can you walk me through the last time you had an issue with an API change?
- How did you find out about the change, and how did you adapt?
- What were the consequences of not catching the change sooner?
Solution exploration (15 minutes):
- What would be the ideal way for you to stay on top of API changes?
- How much would you be willing to pay for a service that automatically monitors API changes for you?
- What features would such a service need to have for you to consider it valuable?
Conclusion and next steps (5 minutes):
- Thank you for your time; is there anything else you'd like to share about API changes and monitoring?
- We're considering building a solution to help with API change monitoring; would you be interested in being a beta tester or learning more about it?
Landing Page Validation Experiment
Objective: Validate interest in API change monitoring as a service.
Design:
- Create a landing page describing the service and its benefits.
- Include a clear call-to-action (CTA) for visitors to sign up for more information or to be notified when the service launches.
- Drive traffic to the landing page using targeted ads on platforms like Google, Facebook, and LinkedIn.
Success Metrics:
- Number of unique visitors to the landing page.
- Conversion rate of visitors who sign up for more information or to be notified about the launch.
- Quality of leads based on job title, company size, and other relevant factors.
Prototype Testing Plan
Objective: Gather feedback on the usability and value proposition of the API change monitoring service.
Design:
- Develop a minimum viable product (MVP) that demonstrates the core functionality of the service.
- Recruit a small group of potential users for testing and feedback.
- Conduct usability testing sessions, either in-person or remotely, to observe how users interact with the MVP.
Success Metrics:
- User engagement metrics, such as time on page and click-through rates.
- Feedback and suggestions from users on improving the service.
- Number of users who express interest in using the service once it's fully developed.
Validation Experiment Timeline
Week 1-2: Customer discovery interviews and survey design.
Week 3-4: Landing page creation and ad campaign setup.
Week 5-6: Prototype development and testing preparation.
Week 7-8: Usability testing and feedback collection.
Go/No-Go Decision Criteria
| Metric | Target | Actual | Pass? |
|---|---|---|---|
| Landing page conversion rate | 5% | ||
| Prototype testing feedback | 80% positive | ||
| Number of pre-orders or expressions of interest | 10 |
User Research Synthesis Template
Problem Validation Summary:
- Top 3 validated pain points related to API changes.
- Quotes from users that illustrate these pain points.
- Any unexpected findings from the research.
Solution Validation Summary:
- Most compelling features of the proposed solution based on user feedback.
- Features that users do not care about or find less important.
- UX concerns or suggestions for improvement from users.
Pricing Validation Summary:
- Optimal price point based on user willingness to pay.
- Price sensitivity by user segment.
- Value anchors that users compare the solution to.