Startup Process

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 also 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 someday.

Why A Structured Tech Startup Process?

You Can Either Look Busy Or Make Actual Progress

When there are so many things to do, how do you know where to start? How do you know what to work on next? You can work on things that will move the right needle at the right time. Or you can constantly ask yourself “What should I work on now?”

Things not done within a systematic process can result in you jumping around doing a bit of this, and a bit of that, not knowing if this is the thing you should be working on. This lack of focus and clarity can result in you wasting your time, or susceptible to chasing every new shiny thing for an edge you are not ready to gain nor apply.

Furthermore, you are acquiring disjointed snapshots of knowledge, and not continuous interconnected streams of knowledge, where you progressively build on what you learn.

It requires the clarity to say no to things that are not conducive towards the primary objective at that time, that takes you one step closer in an efficient manner.

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.

1. Idea Breakdown
2. Problem Research
3. Market Audit 1
4. Audience Disposition
5. Audience Outreach

6. Audience Interviews
7. Interview Results
8. Eco-Player Input
9. Signals (ICP and Persona Generation)6. Audience Interviews

10. Draft Solution v1
11. Value Propositions + Culture Fit
12. Initial Solution + Visionary Solution
13. Initial Solution v1
14. Vision

15. Market Audit 2
16. Competition Audit 2
17. Market Opportunity 2
18. Minimum Viable Solution Formulation
19. MVP Proposition + User Stories

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

25. Investor Criteria Interest Out-Reach
26. Legal & Regulatory Preliminary Assessment
27. Risk Assessment
28. MVP Production
29. MVP Closed Testing & Update

30. Rough Brand Positioning + Initial Marketing
31. Competition Audit 3
32. Content Audit 1
33. Keyword Audit 1
34. MVP Incremental Launch

35. Funnel Proposition (Bottom Up)
36. Early Traction
37. Problem – Solution Fit

See The Steps In More Detail

Step 1

The Components Within The Steps

Input - Process - Output

1. INPUT: INFORMATION

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.

Contextual Big Picture Input
Qualitative Input

QUALITATIVE

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

QUANTITATIVE

You’ll use numbers to signify the 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.

Quantitative Input
Multifactorial Input

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.

2. PROCESS: COLLATE & CALCULATE

Processing

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

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 failure.

Quantitative Results
Qualitative Results

QUALITATIVE RESULTS

When you interview more than a few people, trying to find threads of commonality, patterns and other such things is very time consuming, messy and frankly a ball-ache. The qualitative results, thanks to being coded, means that strong signals, associations, and narratives if present, clearly stand out.

DESCRIPTIVE INFORMATION RESULTS

Descriptive information is either grouped, collated, or presented in relevant places to aid you to evaluate things in isolation, and holistically, facilitating a more thorough understanding and a clearer path as to what to do next.

Descriptive Results

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Instead Of Doing Things To Look Busy

Focus On Things That Move The Needle

Startup System Start Properly