Tech startup consulting services have been branded with many buzzwords to incite excitement, but in reality, there is little actual value being delivered.
All that tech start-ups want to know is the specific reasons for their excessive cloud expenses, why their product release cycles take so long and why their data architecture was rejected by investors during the last seed round of funding.
There are dozens of agencies that claim to provide all-inclusive support from idea inception to product launch, however, few of these companies provide the hard evidence necessary to get through the challenges of scaling at an early stage.
Any consultant who cannot provide you with a completely defined roadmap, validated and accepted minimum viable product definition, or concrete calculation of your customer acquisition costs is wasting your time and resources.
How to Work with a Tech Startup Consulting Firm
The entire purpose of tech startup consulting should be to speed up the business model development process through a focus on risk elimination and successful implementation.
The last thing you want is to hire an advisory firm to help you create a roadmap and at the same time allow that firm to lead you to disaster with technical or operational mistakes that can delay the company by 6 to 12 months of wasted engineering resources.
While many organizations offer broad-based promises of business optimization and market expansion, the types of consulting engagements that provide tangible cost savings are very specialized.
The types of consulting engagements that save companies the greatest amount of money and time include technical due diligence, determining which technologies to use (technology stack), integrating artificial intelligence and building effective DevOps pipelines.
An actual consultant would take a stagnant team of engineers, thoroughly analyze their processes, and reduce the product release cycle from 14 days down to 5 days. They will break down an overloaded AWS fee and lower cloud costs by 40%.
Not only do they provide guidance, they provide audit checklists, roadmap templates, KPI dashboards and decision memos.
Founders must assess their consultants' capability to generate these concrete deliverables (artifacts).
A qualified advisor will question the assumptions of founders heavily, challenge excessive development (i.e. feature bloat), and require them to consider gross margin and payback period before writing a single line of code.
The Danger of General Advice in Tech Startup Consulting
Why Big Company Rules Fail for Small Startups
The majority of large consulting firms attempt to apply large and slow-moving enterprise models to seed-stage start-up companies. This does not work! Start-ups require fast and lean intervention.
If a consultant provides a six month discovery phase recommendation before developing anything, the consultant does not understand how the dollars that seed/start-up level companies operate on work.
A start-up company has a limited time frame, or a "tick tick tick" clock running. Therefore, any dollars spent on strategy that doesn't lead to either product validation or revenue generation is wasted cash.
Enterprise consultants mainly create consulting plans with complex reporting hierarchies and huge software platforms that a team of five don't need.
Therefore, start-up consultants need to operate as an aggressive filter, with one sole purpose: to eliminate unnecessary work and/or areas of focus, and zero in completely on validating the core product and achieving the next funding milestone.
What You Should Actually Get From a Consultant
A vague promise is the biggest red flag in this industry. A lot of consulting web pages say they can help you minimize risk and optimize all of your processes, but they don't explain how it's going to happen.
If you can't see a daily workflow from a consultant, they probably don't have one. A quality consultant will provide you with actual documentation and system usage that demonstrates the value of consulting.
From the start of every engagement, a quality consultant will prepare a technical audit that is much different than a summary of your current software architecture and the security vulnerabilities and performance bottlenecks.
It will be a detailed look at your current software architecture, security vulnerabilities, and performance bottlenecks. They will provide you with a detailed roadmap template that will show you exactly how engineering tasks will tie into business objectives.
They will provide you with a KPI dashboard that compares the daily number of active users to the engineering burn rate. You are paying for these tangible deliverables.
You are paying for the operational mechanics that you will be able to use after a consultant leaves your organization.
Main Technical Areas Consultants Fix
Planning Your First Product and Keeping It Small
The primary reason why many early-stage startups fail is because they run out of funds due to feature bloat. Many founders feel that they must build a perfectly polished product before they can attract early stage customers.
A good technical consultant will be able to help you to abandon that notion. The purpose of a minimum viable product is solely to validate if there is a market for your product.
The purpose of a MVP is to determine if anyone will pay for your solution. Consulting at this stage requires that the consultant work closely with the product team and to ruthlessly eliminate features from the product's roadmap until only the most essential features remain.
A strong engagement for MVP scoping can save an early-stage startup up to a year of wasted effort. This means that engineering will not attempt to develop very large, very complicated systems for user bases that do not yet exist.
A tech startup consulting expert will define for the company exactly what success metrics are for launch and delineate what features are "in" and what features will not be built as part of the first cycle of production work.
Choosing the Right Technology Setup
Early technology decisions will determine whether or not your technical company continues to exist into the foreseeable future.
The wrong architecture choice (ie. front end framework or data layer) will result in a large, costly solution change when the company begins to ramp up in terms of users and data.
Consultants should be explicit in identifying and communicating to clients the trade-offs of every technology decision that is made.
If a client is building a fast, reactive user interface, the consultant should compare React, Angular and Vue.js against the skills of the respective developer team and estimate load times.
If the client is building a back end processing application, the consultant should determine whether Node.js, Python or Java is the best platform based on the results of hiring costs, execution speed and server resources.
The data layer is an area that requires extremely careful consideration by the consultant.
If a client uses a relational database (PostgreSQL or MySQL) and have large, complex queries to perform against that data, the consultant must ensure that the customer understands the use of relational databases vs. NoSQL databases (MongoDB) and why the former will yield better results than the latter for unstructured data.
An effective consultant should plan for "speed" by integrating a caching layer such as Redis into the client's application infrastructure.
If the consultant merely advises the client to host their application on AWS without providing the specific differences between serverless computing, standard container orchestration and the associated long-term costs of running and maintaining that type of infrastructure, they are presumably failing the client.
Preparing for Investor Checks
The technical due diligence process is unique to every new venture; however, in general investors will evaluate the company's revenue growth and will also conduct technical due diligence to determine that the infrastructure supporting the revenue growth is scalable over time.
Before writing a cheque, institutional investors carry out extensive technical due diligence to ensure the product is able to withstand the demands of the marketplace.
Consultants play an enormous role in preparing companies for the moment institutional investors write a cheque. They perform an exhaustive mock audit of the entire technical stack of the company.
They verify the security of the company's security protocols, including that OAuth and JWT implementations are secure, and the implementation of the current standard for SSL is strictly adhered to.
They look at the company's uptime history; if the company claims to target a 99.9% uptime but frequently has its servers crash due to minor spikes in traffic, investors will not invest.
A consultant will identify these architectural deficiencies and resolve them before the institutional investors meet with the company for a pitch. As a result, a solid tech startup consulting strategy will convert an investor's likely rejection into a successful funding round.
Making Sure Your App Can Handle More Users
For example, a product that works flawlessly with only 100 users may crash completely if 10,000 users attempt to log in simultaneously. Performance bottlenecks are a major concern, especially during times of growth.
Consultants address this issue by implementing strict DevOps policies and practices. A consultant will work to transition from a manual deployment strategy to an automated continuous integration/continuous delivery (CI/CD) pipeline.
The automation of a CI/CD pipeline ensures that all changes to code are tested and deployed automatically without disrupting the live system.
As a result, the best consultants have the ability to transform a slow team that takes two weeks to release code into an extremely efficient team that can deploy updates within five days.
Additionally, the consultant will implement infrastructure as code, creating predictable and stable server configurations. To lessen any potential server overload during peak traffic times, they will implement load balancing techniques.
Deciding Whether to Build or Buy AI Tools
Artificial intelligence (AI) is significantly more prevalent now than it was just a few years ago and is considered an expected part of most new software; however, founders do not always take advantage of all the options available to them, such as using existing APIs to build fully-featured AI systems from the ground up instead of using an existing solution.
A technology consultant serves as an intermediary to help startups avoid wasting money on developing AI systems that may not need to be developed.
The consultant will conduct a thorough analysis of the build-vs-buy options, and if a company simply needs capabilities such as text generation or data summarization, the consultant will likely advise the company to incorporate third-party large language models (LLM) API endpoints into their applications.
Moreover, utilising an existing database with a clean, organised, and well-structured data environment is critical prior to any AI tools being utilised.
If a company does not have the proper data infrastructure in place, then AI tools are virtually useless. Therefore, the technology consultant must guarantee that the data infrastructure is ready for AI tools before they are implemented.
How Founders and Advisors Work Together
Helping Non-Technical Founders Manage Engineering Teams
Non-technical founders often have great vision; however, they may lack the technical expertise required to manage a technology development team.
Hence, many founders end up performing the role of a temporary CTO without knowing how to read code or assess the architectural integrity of software and products.
In this situation, a consultant can fill the gap by becoming a fractional technology leader. They act as a translator between the technical realities of software development and the business objectives of the organisation.
The technology consultant protects the non-technical founder from allowing themselves to be overcharged by development agencies, as they regularly overengineer projects, thereby increasing the time billed to clients.
A consultant will establish a day-to-day tracking system, set clear engineering objectives, and confirm that the product is being developed in accordance with its original specifications.
They will provide the CEO with the terminology and metrics necessary to hold their technical team responsible for their work.
Guiding Technical Founders
Technical founders encounter a unique set of challenges. They understand how to create a product, yet are often unable to stop developing and begin selling it.
They may be overly focused on creating perfect code and ignore the importance of market timing. A consultant supporting a technical founder provides operational support.
They require the technical founder to take a break from writing code and focus on the company as a whole. They will remind the founder that three weeks spent optimising a database query has no value if the business only has two months’ cash remaining.
They will redirect the technical founder’s attention from perfect engineering to business function metrics. They will help the technical founder realise that speed and market validation are more important than a perfectly designed server architecture in the early stages of the business.
Tracking Metrics and Saving Money
Looking at the Math and Profit Margins
Ultimately, financial decisions dictate the outcome of technical choices. No startup will survive if its server-related costs are rising more quickly than its revenue.
Advisors must link each engineering choice directly to its impact on the overall financial health of the business.
Advisors will pay close attention to unit economics, including the cost to acquire customers (CAC) and the amount of time until that customer will pay back their investment. To justify a $2,500 customer acquisition cost, a startup's software must allow for high profitability.
Consultants typically build systems that can support this level of gross margin (90%+), and for startups using service-attached software examples, consultants track billable utilization against that target.
These consultants also help startups create the systems to achieve a breakeven point within a predetermined timeframe, typically with a maximum timeframe of six months.
Consultants also help assess the efficiency of a startup's engineering speed and cost. Consultants track engineering speed with metrics. They measure the time taken by a new feature from the time it is identified until it is in production.
Additionally, consultants measure the waste caused by excessive cloud costs. Many engineers leave large server instances running, which greatly increases cloud costs.
As such, a significant portion of the tech startup consulting engagement is auditing a startup's cloud environment.
The consultant will identify inefficiencies on AWS or Google Cloud bills, recognize unused computing instances, optimize inefficient database query processing by reconfiguring server architecture, and identify opportunities for reducing cloud costs by 40% in a growth-stage technical audit.
The consultant will also continually monitor core web vitals for optimal performance to positively impact retention rates.
How a Consulting Agreement is Set Up
The First Steps: Checking Your Systems
A professional relationship between consultants and startups begins with an audit of the startup's current state, not by making immediate changes to the codebase. Typically, this initial phase lasts for two-four weeks.
As part of this phase, the consultant assumes the investigator role. They will conduct a review of every aspect of the codebase and database architecture, as well as interviewing the lead engineers and reviewing the product roadmap for the company.
The outcome of this phase is an actual document, not just an opinion. The document will contain a complete list of all technical debts, security risks, and process failures that exist for the company (e.g., from the time of the initial audit to the conclusion of the initial audit).
This initial audit will serve as a baseline measurement against which any intervention by the consultant will be measured; each intervention will demonstrate whether or not they are improving it faster, cheaper, and more reliably.
Understanding the Costs
Pricing within the consulting industry can be extremely fuzzy, leading many founders to be left in the dark on exactly how much to expect their engagement with an engaged consultant to cost.
If a consultant is honest with you, you'll be able to establish clear pricing anchors. Typically, the majority of the high-level tech startup advisory work is done to a structured project fee or monthly retainer, and is not as simple as hourly billing.
The initial audit that usually lasts between two and four weeks is charged as a flat fee.
Following completion of the audit, the consultant enters into the execution phase, which is a period of four to eight weeks during which the consultant actually resolves the issues they just identified.
The retainer allows founders to reach out to the consultant in times of high stakes decision-making without worrying about being charged for each minute they call.
This type of pricing structure aligns the consultant's interests and need for efficiency with the startup's need for a fast-action response instead of dragging out a consulting engagement.
Common Mistakes That Ruin Startups
Growing Too Fast and Breaking Things
Following a successful venture capital round, a startup typically moves into its first stage of development, where they will feel a tremendous amount of pressure to scale almost immediately given their new access to capital.
Forecasting based solely on a successful Series A (or equivalent round) results in premature technical debt.
In this case, when scaling operations quickly, the engineering team will often build add-ons/features on top of an already existing and unstable minimum viable product (MVP) architecture, as opposed to taking the appropriate amount of time to re-architect the system for multi-user scalability.
They implement ‘quick fixes’ and patches rather than hardening the existing infrastructure, which will eventually require an external consultant to stop and redirect this current path for continuity.
This includes forcing the company to halt any new feature development and concentrate on mitigating the weaknesses of the previous build.
Should this not occur, the compounded technical debt will eventually cause the entire system to break down to where the engineering team spends all their time fixing bugs and no time building value.
When Tech and Marketing Do Not Match
Even well-constructed/engineered software will fail if it does not correlate with precisely how sales and marketing are functioning.
A typical failure mode occurs when the technical portion of an organization is completely disjointed from the commercial side of the organization.
Consultants find that the product team is building features the sales team cannot sell or that the marketing team is making promises the software cannot deliver on.
An advisor must align both sides of the organization to ensure that the roadmap for product development directly corresponds with the company's go-to-market strategy.
For example, if the company plans to launch operations into three new countries, the advisor must ensure that the software developers build-in the ability to handle local currencies, provide localized language content, and provide compliance with local laws.
The advisor must proactively develop the IT system long before the marketing campaign begins.
Stop Paying for Vague Advice
If your advisor cannot provide you with an operational checklist that includes an actual audit, architecture diagram, or timelines for when you will see savings in your cloud computing costs then it is in your best interest to dismiss the advisor now.
You need to see an execution plan with defined operational effects on the business; high-level assumptions and theory will not sustain you long enough with your limited runway.