The Startup Process

A Guide Without The Missing "How-To" Bits

The Startup Process is a step-by-step comprehensive guide to launching your startup. It takes into account many of the landmines that other startups succumbed to, as well as many methods and techniques that aided successful startups. It takes into account the evolving dynamic nature of markets, and the need for us as founders to not be chained to advice, rooted in a time and place that no longer exists. A fate that may well befall Startizer some day.

Why A Structured Tech Startup Process?

Move The Right Needle At The Right Time

Things not done within a systematic process, can result in you jumping around doing a bit of this, and a bit of that. You are acquiring disjointed snapshots of knowledge, and not continuous interconnected streams of knowledge, where you progressively build on what you learn.

8 Phases In The Startup Process

Incorporating 37 Steps

The process has to start in an indisputable place. However, startup and all that, is anything indisputable? What truths do you even know? You have an idea, don’t you? Cool, then that’s where you’ll start.

The steps in MVP v1 are listed below. MVP v2, which is desktop based, features the first 9 steps, but not Step 8. You can download it for free.
Phase 1

1. Idea Breakdown

2. Problem Research

3. Market Audit 1

4. Audience Disposition

5. Audience Outreach

Phase 2

6. Audience Interviews

7. Interview Results

8. Eco-Player Input

9. Signals (ICP and Persona Generation)

Phase 3

10. Draft Solution v1

11. Value Propositions + Culture Fit

12. Initial Solution + Visionary Solution

13. Initial Solution v1

14. Vision

Phase 4

15. Market Audit 2

16. Competition Audit 2

17. Market Opportunity 2

18. Problem + Benefits / Feature Prioritization

19. MVP Proposition + User Stories

Phase 5

20. Solution Roadmap and MVP & v1 to MVP Harmonization

21. Business Model Auto Generate + Update 1

22. Market Demand Validation

23. MVP Specs, Users Stories, UX/UI

24. Prototype + Validation

Phase 6

25. Investor Criteria Interest Out-Reach

26. Legal & Regulatory Preliminary Assessment

27. Risk Assessment

28. MVP Production

29. MVP Closed Testing & Update

Phase 7

30. Rough Brand Positioning + Initial Marketing

31. Competition Audit 3

32. Content Audit 1

33. Keyword Audit 1

34. MVP Incremental Launch

Phase 8

35. Funnel Proposition (Bottom Up)

36. Early Traction

37. Problem – Solution Fit

PHASES 1 - 4
Phase 1

1. Idea Breakdown

2. Problem Research

3. Market Audit 1

4. Audience Disposition

5. Audience Outreach

Phase 2

6. Audience Interviews

7. Interview Results

8. Eco-Player Input

9. Signals (ICP and Persona Generation)

Phase 3

10. Draft Solution v1

11. Value Propositions + Culture Fit

12. Initial Solution + Visionary Solution

13. Initial Solution v1

14. Vision

Phase 4

15. Market Audit 2

16. Competition Audit 2

17. Market Opportunity 2

18. Problem + Benefits / Feature Prioritization

19. MVP Proposition + User Stories

PHASES 5 - 8
Phase 5

20. Solution Roadmap and MVP & v1 to MVP Harmonization

21. Business Model Auto Generate + Update 1

22. Market Demand Validation

23. MVP Specs, Users Stories, UX/UI

24. Prototype + Validation

Phase 6

25. Investor Criteria Interest Out-Reach

26. Legal & Regulatory Preliminary Assessment

27. Risk Assessment

28. MVP Production

29. MVP Closed Testing & Update

Phase 7

30. Rough Brand Positioning + Initial Marketing

31. Competition Audit 3

32. Content Audit 1

33. Keyword Audit 1

34. MVP Incremental Launch

Phase 8

35. Funnel Proposition (Bottom Up)

36. Early Traction

37. Problem – Solution Fit

The Components Within The Steps

Input - Process - Output

1 – INPUT: INFORMATION

1 – INPUT: INFORMATION

In most of the steps you are to submit information requested of you. The type of information is:

CONTEXTUAL BIG PICTURE

When there is no big picture, you don’t know where the small details fit in, and how they contribute to the whole. The information you submit will provide context and perspective.

MULTIFACTORIAL DETAILS

A multi-angled view at an appropriately granular level, enables you to leave no stone unturned, and find the devil in the detail.

QUALITATIVE

Descriptive information that you’ll obtain via research, observation or interviews. You’ll code (tag) the qualitative information, to classify and categorise, so you focus on thematic content.

QUANTITATIVE

You’ll use numbers to signify degree of magnitude, ie intensity, frequency, etc, so you’ll either provide a number or obtain it during interviews. The scale used is from 0 to 10, where 0 is absolutely nothing, and 10 is maximum.

2 – PROCESS: COLLATE, CALCULATE & COMPARE

2 – PROCESS: COLLATE, CALCULATE & COMPARE

QUANTITATIVE

The quantitative information is processed in various ways including totaled, averaged (mean), total count, max and min values, where applicable.

QUALITATIVE

The qualitative information is grouped according to the thematic framework you defined, ie the codes you used to classify, highlight and summarise things.

3 – OUTPUT: RESULTS

3 – OUTPUT: RESULTS

QUANTITATIVE RESULTS

The quantitative results where appropriate are compared to a pass-mark of your choice, and from that you will get a pass or fail. The pass-mark is a percentage, so for example, you may define the pass-mark as 70%. This would mean that any result that falls under 70% would be declared a fail.

QUALITATIVE RESULTS

The qualitative results, thanks to being coded, means that  strong signals, association, and narratives are picked up more clearly. Foster greater credibility and confidence in any decisions you make.

DESCRIPTIVE INFORMATION RESULTS

Descriptive information is either grouped, collated, or presented in relevant places to aid you to evaluate things in isolation and in a holistic manner, facilitating a more thorough understanding and appreciation.

Less Guesswork, More Know-Work

Know When, How, & Why, What To Do