The Shredder framework

The Shredder is a method I’ve developed to try to unravel strategies whether they are for companies or products. The process of understanding requires gathering information and information in the world can appear in many different formats, it’s almost like going through a company’s shredded confidential paper bin and trying to connect it.

The Shredder can help you:

Understand your own company – Let’s face it, most of the employees in most companies don’t understand the company’s strategy, and are trying to suggest things that seem to be randomly accepted by management. Using The Shredder you’d be able to understand decisions better.

Be clear about your own strategy – If you work in a startup or any fast pace situation you might not have a strategy and are developing it gradually whereas your employees are thirsty for clarity. The Shredder will help them give you feedback, and together you’d be able to identify actions and lead them towards a tactic (the series of actions you do instinctively). From there it’ll be logical to measure what worked and develop that into a strategy.

Understand other companies’ strategies and anticipate their future actions – No one works in ether, we all have competition and we all need to understand where they are at and where they are going. The Shredder would allow you to understand your competitors’s strategy better and identify what worked for them and why.

The Shredder helps people identify the pieces and figure out how to connect them. This isn’t an exact science and you’ll create informed theories, but as time progresses you will be able to improve your accuracy of predictions, and in any way, this is a great way to get a team up to date with a situation in a company or another and align between people.

The Why

The Shredder session is a strategic analysis framework I created a long time ago and in this constellation, it was catered to help our newly born product function at iwoca to learn how to think strategically by analyzing competitors. Analyzing other companies is essential for self-improvement and is a muscle that when used right can yield massive improvements in how we approach product development. 

In preparation for a Shredder session, you  select a company or a product to focus on. The participants will get specific homework in preparation for the session. The homework will include researching the company and documenting it in a very specific way that will later on feed into the overall framework. This is plainly healthy meeting culture, set agenda and come prepared. The company that we choose isn’t necessarily competition, but rather a company we can learn from. At times we will focus on public companies which allows us to get more pieces of information together. In the end it’s about the construct of the people in the room and the area we want to explore. The parameters I consider when preparing for a session is how macro is the thing we are shredding in relation to the time we have. 

No matter what role you do in the product team it’s always good to escape from the day-to-day product activities to look at other products, different user needs, doubting things and asking the five whys – to get to the source of actions, and ways of operating. A strategy is an organization’s set of choices of what to do and what not to do. Exploring these leads to tradeoffs that we want to find and take advantage of.

Framework

The metaphor I want to use for The Shredder session is of a tree (sapling). Even though what we find at the end are shredded pieces of information they all come from the tree. During the session, we are trying to understand and map the company as a life form. Essentially we are doing reverse engineering, therefore we can’t start naturally from the trunk. In fact, we will start with everything but the truck in order to find out how it looks and what flows inside.

The company’s world / parts

Reproduction [visible]

Fruits – These are the product that the company launched. They can be either fertile or premature. Inside the fruits, there are seeds that breed more trees. This is what companies sell.

Flowers – pre fruit are pollination mechanisms and can be investors, customers, API endpoints, partners. This is how companies have sex with others.

Collection [visible]

Leaves – Every successful meeting or relationship creates leaves. This is how people photosynthesise from one another on the way to the products that are built. 

Branches – These are the paths that teams take to breed products. Not all paths lead to successful products, some just to leaves or nothing. Sometimes companies need to cut branches to focus on core products.

Base [invisible]

Trunk and what’s inside – This is the strategy and how teams function internally. It’s all hidden inside a thick layer of protection and even if you cut through it it’s hard to understand exactly how things really work inside. The only way to do that is to penetrate which is illegal.

Roots – These are the founders, the c-suite, the team and how they are orchestrated to feed into the strategy and the company goals.

Effectors [visible]

These are a sum of external things that affect the growth of the tree.

Eaters – The tree can feed a lot of things, but this refers to customers across their types.

Fertilizers – investors, partners.

Parasites/Insects – These are life-sucking creatures that feed on the company but don’t contribute to its growth.

Soil  – This is where the company seats in terms of industry, addressable market etc.

Weather – These are a set of conditions that allows the company to grow, from regulation (air), to how other companies operate (water), hype (sun).

Notice I labeled what is visible and what isn’t. Everything that is visible is out for grabs and can be researched and utilized in our path towards understanding a company’s strategy.

The process

In order to shred a company, we first gather information through different lenses, by different disciplines of people. This happens in the homework phase, but even more when we lay it all out in the open and people look at it through different lenses. When we conduct sessions, we’ll bring product managers, analysts, designers, developers, etc. This allows us to break down a company or a product into the smallest bits. It’s similar to mimicking their org inside our room. Breaking their organization down to these pieces allows us to estimate where they invest and where they need to improve.

Information top & bottom

This is where we look at anything we can find out in the world. It’s also plausible to call and ask the company different things if these types of methods are up in hand. In this section we will use tools to analyse org charts, to see investments and growth of team etc.

Theorising distribution / Make connections

Based on the fruits and roots, we can theorise how the branches look like and what connects to what. We essentially categorise and are searching for where we see coherent streams of investment. We cross-match what we gathered in order to produce a set of assumptions and look for validation. 

Think of it as a detective trying to figure out a crime. A detective would construct a picture and look for proof to support their theory. However, unlike a detective we’re working as a group which allows us to look at a situation from different angles. What we end up with is a lot of information and some possible theories. Even though we conduct the session once in a sprint or in parts, it is still valuable to update and look at a company again once in a while, especially if we see that something interesting and new is happening there. Then, we can follow and keep building up in the future while we keep collecting and validating. 

Match to known flows and identifying dependencies

After scoping and breaking down an organization top to bottom, it’s always good to switch lens and look at it horizontally across services, customer needs, pain points, and flows. Changing this lens allows us to see gaps in a different way, map value chains and see where there are dependencies internally and externally. Looking at these stream allows us to see where the branches connect to the trunk and can help us see where they don’t connect and how that tension affects the tree.

Finding impermants and leakages

There will always be things we cannot connect, or explain. It is important to highlight them and single them out as anomalies. This section can teach us a lot about motivations inside the company and things that don’t work well or are perhaps about to change. These are essentially seeds or branches with weird growth trajectories.

Strategy

This is where we try to figure out what decisions were made and why. Moreover, this is where we try to understand what  they can and can’t do based on their strategy. There are reasons why branches grow the way they grow. They are related to different external conditions but mostly to how resources are distributed from the roots. 

Where do they go next?

Looking at their strategy, what’s out there and where the market is (which is a different story) we can start scoping where we think they can go to next. This helps us inform our own strategy and update it based on movements in the market.

Summary

Companies are live organizations that need steering and have a planned growth trajectory. The parameters that affect the growth are derived from leadership, strategy and how the market reacts to them. In order to analyze and inform our own strategy we shred other companies in a session, looking through different lenses to see as much of the picture as possible. The end result of the shredder is a map of a company in the form of a tree. We start with a question mark in the middle and end with a few assumptions to validate. Even though we will never know exactly what happens in other companies, we use time to tell us if we were right and we act based on facts and information we gathered.

This article is a part of a series of articles about Shredder which will dive down into the details of each session and tell you how to do it in your company.

Where will ads live? The answer: Hardware

There are countless businesses that build their value on the back of ads. Shamefully it became the default reaction to “what’s your business model? Advertising”. Because of this, ads became more hated than ever. Yet there is barely any supervision for the content that is in ads. With the absence of supervision in this space there is a major opportunity: To grab the last touch point, and make it useful and workable for the customer. Let’s dive in.

Trust the medium?

Newspapers are a medium, a format that ads are distributed through. As well as charging companies to place adverts, consumers paid to read the papers, and therefore to see the adverts. Before the rise of the internet, the monopoly over information that people wanted to read made it feasible to charge the two sides of the market, the customer and the advertiser. Newspapers were better the more distribution they had.

As power accumulated so did money. Norms started appearing, and with them a code of conduct. Many of the people who worked in the information business were creatives. For example: journalists, editors, and photographers. This led to the creation of unions, enforcing the code of conduct and ethics. People ended up buying the newspaper for its name which symbolized some sort of truth. Authors were relentless in their pursuit of the truth while telling a good story. Today most people don’t know where an article came from “I just saw it on Facebook”, let alone who wrote it.

People spend less writing time per article today in comparison to the past. Articles are distributed through undifferentiated platforms and mutate according to the platform. Likes are dismissive, comments are mostly superficial – three words or an emoji. Mini boredom is solved by minimal non-obligatory interactions and people have short attention spans.

Ads kept their place in this world, dollars follow attention and distribution, not ethics. Ads moved where the information did; after all, ads are also some sort of information that someone wants to provide. An ad’s trustworthiness is created by grabbing attention and using public / attractive figures. These address the truth or utopia, whims of dreams.

Trust the distributors?

It is always said that when you control the distribution you can control the knowledge. Only in the past there were more layers to filter ads, based on the content that editors wanted to correlate with their brand and standards. But a paradigm shift happened, the choice now belongs to the people. Your friends can post whatever they want to and companies can target whoever they feel like. Because of scale, there is less of a critical eye being cast over what is exposed to the public.

The other day a friend of mine wanted to publish a campaign on Instagram. He filmed his music studio, but upon uploading it the Instagram algorithm claimed that text appeared in his video, thus blocking the campaign. In response, he requested that they look at it manually because it, in fact, didn’t include any text. A few days passed and they approved the campaign. AI is not smart enough to even determine whether there is text in a video, I don’t expect it to judge the content anytime soon.

Big money was always in the game. Many newspapers and media companies are owned by political bodies. That’s exactly the reason that today if you pick up The Guardian you know what to expect, and the same is true if you watch Fox News. Most platforms don’t have anyone editorial, or legal, looking at anything that comes online. Until recently nobody was interested in standardizing ads, their content or their mechanism.

Trust today’s solutions?

Throughout history, many people have tried to avoid specific types of content, ads among them. One of the key marketed benefits of having a remote control was to skip a channel when ads are on TV. When VCRs arrived people recorded shows and fast-forwarded ads. People loved the concept of controlling the content. Today cord cutters also prefer it to cable TV because they want to see what they want to see without ads. In fact they care less about where the content came from, and are more interested in just consuming it.

As an example, Netflix built on the lack of care shown by customers and so did cable companies. But now TV companies try to differentiate themselves because they do care about exclusivity, and therefore want to create a lockdown mechanism. Once it is strong enough, I believe that even paying customers will see ads again.

2016 was a big year for Ad Blockers. As the number of people who installed an Ad Blocker rose above 20% the advertising industry and the distributors realised it’s a big problem. The reactions varied:

  1. Block every user that has Ad Blocker from watching any content
  2. Make a paywall for content without ads and give away some content for free
  3. Show parts of the content
  4. Beg for users to remove their Ad Blocker
  5. Say they ethically request users to remove it so they (the distributor, content maker) can support themselves.

But only halfway through the year, new voices arose calling for ads to be standardized. These voices looked at the problem at hand. With today’s accurate tracking and personalization, why would people block ads? The answer is that ads are a jungle full of clickbait ads, spam, viruses, ads that hurt the user experience and take over the whole screen, ads that play sudden loud music or open unwanted windows, the list goes on.  So they decided to try and work on standardizing ads, and at some point, they will have some teeth. But in the meantime…

People discovered Ad Blockers and even if there were some ads they didn’t mind seeing, they just wanted to get rid of it all completely because the bad and interruptive ads outweighed the good and targeted ads. Ad Blocker was such a hit that it caught both Apple and Google’s attention. We can already see seeds of their work in updates they did recently.

Apple’s cookie tracking blocker mechanism in IOS 11’s Safari has reportedly cost media companies around 200 million dollars. Google is bringing an integrated ad blocker to Chrome. Probably to block everyone else’s ads and prioritize their own. They are both trying to prevent users from choosing services like adBlocker Plus.

This kind of service makes its money by allowing specific ads to go through the filter. This allows them to get paid, it’s their business model. Do we trust Google more than we trust adBlocker Plus? I really don’t know, but it seems like it’s a good idea to be able to avoid a monopoly on this front. It seems that the EU is also eying this area.

 

Who to trust?

Privacy and ads seem to be an especially good opportunity for aggregators that have a leg in the hardware world. Why? Because hardware is the actual touch point for the customer. You could argue that you watch Netflix on TV but I would argue that you watch TV!

For many years hardware companies took the wrong steps to catch up with startups and software companies. Among these wrong steps, we have the cases of bloatware (adding unnecessary apps to your phone, hoping that you will use them), and creating competing software that wasn’t good or innovative enough etc. But now it seems companies like Apple and Amazon understand that they will never have a better app than a competitor that is working on it exclusively. By becoming a smart aggregator, and applying regulations and ethics, the last touch point can become the only touch point.

Here are a few examples:

Apple pulling out an app from the app store because it’s competing with a service they are about to launch, or inappropriately using one of their devices.

Apple’s TV app aggregates TV shows and movies from all the apps that are installed on the Apple TV. If you add Apple’s future original content it’s a very powerful touch point.

Amazon creating an API for developers to use Alexa, controlling what information they give to developers.

Facebook’s single sign in, which allows users to signup and protect their information to a certain extent.

 

It is essential for hardware companies to know what’s going on within each app that is on their devices. Of course Facebook will never agree to give Google all its info about what you do on your device. But in reality, Google look at what you type on your keyboard, and they also know how long you spend in the app. That is already very valuable information.

Imagine you are watching a TV show on live TV and when the ads start the TV blocks them, or changes the channel to something else (your second option) until the ads end. Imagine the TV making sure you watch an ad that is relevant to you, like on the internet. Instead of watching a tampon ad you’ll see a PlayStation game ad. Imagine physical ads on the street that will react to your profile.

I believe that this is the future that companies like Google, Apple, Amazon and Facebook imagine. A future where controlling the touch point allows them to set rules that will make the user experience better, that will target us personally with things that interest us (or that will affect us – depending on how dark we want to be). The company that controls the last step of the interaction, the physical touch point, is the company that can call the shots. This is one of the main reasons why every big software firm tries to branch out into hardware.

When a user is using your software the user is your product. You will do anything in your power to retain them and you will make money out of them however you can (ads, upgrades etc.). When a user buys your device the user is your customer and the device is your product. You will do everything you can to make your device better. Thus you will want them to have the best experience possible. Ads wouldn’t interest you because it’s not how you’d make money. You’d make money by selling your device and creating the best experience. And that wouldn’t include ads, unless you are a newspaper 🙂

The slipperiness of UX data

In my article proving design, I talked about how hard it is to have proofs for making the right product or product decisions. Some projects are so expensive that it takes a lot of convincing to get a budget for them. It’s a natural trade-off. It doesn’t get easier after you’ve done parts of the project, or even after you’ve done the project and are now interested in moving forward with a second stage of development.

Many UX professionals talk about the importance of data but let’s be honest, in the cycle of design and decision making there are countless things that cannot be measured.

What can be measured?

  1. Do people need your product?
  2. The product itself and how people use it.
  3. Ideas, and iterations — Using user research.

Basically everything you can do with your team. It adds up to around 20% of the creation process.

What do you create? What informs your ideas? Are you influenced by other designs you can’t measure? Hell yeah!

What cannot be measured?

Competitors

You can’t know why your competitors behaved the way they did. You don’t have their data and you can’t know their decision-making process.

Pre-product behavior

There are many marketing products that are trying to solve this. However, in this part of the user journey, the designers have zero control. The user journey is driven by the facilitators whether it’s the OS or the platform. Each platform will supply you with some data and measurements but it’s not exactly monitoring UX, it’s more generic and marketing led. In big organizations, it’ll also be a challenge to get these data points. In addition, every piece of data should be verified. With platforms, it’s almost impossible to verify.

Analytics

In your service, you’ll need to check and correlate through different tools (MixPanel, GTM, Data studio, etc.). Understanding analytics tools have become essential for UX and Product roles. This is how companies make crucial decisions and that’s why it is checked and cross matched, usually with three to four systems, to compare and see if the data is reliable.

OS design patterns

The fact that Google decided something should look the way it does doesn’t mean it’s the best way. It means that they probably measured it and it works. It also means that with their level of influence, many apps will adopt it and it’ll become familiar. But it doesn’t necessarily mean it’s better. Some of these decisions are made to differentiate from other platforms like iOS or Windows. Other decisions are a compromised solution to a great design because the design might be patented. That’s precisely why Google and Microsoft bought Motorola and Nokia, stripped them of their patents, and then sold them on to someone else. So if you’ve seen a design, even if it’s famous, it doesn’t mean it’s the best practice.

Just because it works it doesn’t mean it’s a nice experience. Many companies don’t see a reason to change. It’s very common when a company has a monopoly.. For example buying stuff on eBay…does it work?, Yeah…Is it a nice experience? No. Everything is cumbersome: receiving messages, sending, going through versions of eBay from 2000 till today.

It works but it ain’t nice and at times very confusing

In comparison, Amazon are more ambitious and “very slowly” redesign their experiences to be functional and delightful.

You’ve got the Data! But, wait, it might be skewed.

Let’s have a look at how this can happen.

Wrong implementation

Just a simple line of code or a selection of a wrong event could cause every click to be counted as two. That’s why it’s important to check with multiple systems — which, as I mentioned earlier, could be problematic at the stage prior to the user journey beginning in earnest.

Intentions

Even if you have a lot of verified data, how can you believe the data that you see? Every person that collects data (arguably even scientists) is trying to show the data in a way that will flatter their agenda. Data can be collected and presented in a non-neutral way. It’s natural and happens with everyone from marketing companies to UX designers who just want their projects to be successful.

Source giphy.com

Presentation

The medium is the weapon and it’s important to understand why something was chosen, in a similar way to understanding graphic design decisions: What do they show me, and what don’t they show me.

A few current examples of skewed data and how it has been used:

  1. Facebook admitted to having wrong measurements for the 10th time
  2. Facebook is accused of being part of the Fake news problem…Google is too, but it’s used much less for leisure and content consumption.
  3. Facebook is deleting tens of thousands of Fake users, which is why they keep tweaking the news feed, and Google is doing the same with search results.
  4. Cambridge Analytica is suspected of and grilled about their methods for influencing users in the UK / US.

Key ways to deal with it

Critic

Be harsh and critical, try to look for the angle. Life sucks if you always think everyone has an interest but even though awareness drives sadness it’s smarter to look at things critically, especially in business. So when you see a new feature, after you finish getting excited or booing it, think about why they created it? Whose decision was it to make it and what’s their interest? Link its value to the business, marketing, user satisfaction, design etc. Guess which department came up with this concept. Think about where they could take it to next. What’s the future of it?

Influenced but aware

There is nothing public, what you have is a trail of user experience data. I got responses for a previous post I wrote about Facebook that said: “But where is the data?” The answer is: This data is internal and not available to anyone else. It’s too secretive to expose, it’s their secret sauce. Does that mean I’m not allowed to write about or analyze it? I don’t think so.

In Instagram, you’d know how many pictures are uploaded to Instagram because it’s a financial data that affects retention/time spent. But you wouldn’t know how many of these pictures are uploaded from a computer, user’s gallery or a professional camera. It’s just important to accept it when critiquing or being influenced by it and to know the limitations of the data you’re dealing with.

Here is an example where you have data, but can only see part of the picturee: “Apple’s revenue from repair is bundled in with its “services” revenue, alongside digital content sales, AppleCare, and Apple Pay revenue. While there is no good way to figure out how much revenue comes from repair, Apple’s services revenue pulled down $7.04 billion in net sales, out of $52.90 billion total.”

Hack

Be aware of your level of control, but see if you can take it further. The difference between owning an OS and participating in one is huge. When I was working for Samsung we were designing the core of Tizen OS for TV. We had control over everything without limitations. We could track everything we wanted to if we built it. But when you are a part of an ecosystem you need to play by the rules and get whatever you can throughout the process. That’s why designing for a native OS is such fun, especially if others are building and increasing your knowledge.


Data is important, but I would argue that decision making can only be done based on it to a certain degree. In my opinion, around 70% of what constructs the decision is experience, aspirations, and alignment with the other sides of the business. A good designer or product guy should influence and convince but it’s not all up to data. Data is just another tool in the arsenal and it’s good for specific use.

Recruiters don’t work for startups — Why I’m cutting the middleman

We’ve all seen Google’s search results when you type recruiter. I’ve read multiple “open letters”, hate posts, attempts to explain how “companies” and “candidates” should be treated. I have recently experienced it from the “company” side, which surprisingly is even more annoying than the “candidate” side. But that’s not the purpose of this post. The purpose is to focus on recruiting for startups, how it is now and how it can possibly become better. Obviously I’ll start with a short rant, but after I’ll try to gracefully outline some new thoughts and ideas for making this work.

Once upon a time…

Well actually it was a couple of months ago, I started scouting for developers for my platform and posted a naive message on LinkedIn. I was hoping to get some replies from interesting developers. Within one minute of posting, I received a phone call. It was a recruiter. I’ve written before about the pyramid of communication. Obviously, it threw me off when a salesperson called me without my permission. As far as I’m concerned, people should call if they (1) Want intimacy (2) Have something urgent to say (3) Are close to me and want to tell me a long story that it’ll take too long to write. But because it caught me off guard I agreed to talk to the recruiter.

A few days had passed and as a result of that post I got loads of messages, all from recruiters. Actually, I also posted the request on Facebook. The overall result of my 3300 connections in LinkedIn and 1700 friends in Facebook amounted to 20 messages from recruiters and one friend that recommended a person. That’s a pretty crappy return on what’s supposed to be the core value of the platform — namely finding employees.

The following week was full of unexpected calls from recruiters, contacting me left, right and centre whenever they felt like it. Some calls were even at weird times. And of course everyone leaves voice messages instead of sending an email.

We had a couple of interviews and after the first batch, we realized that the definition of what we were looking for was wrong. The recruiters didn’t get it, it was the developers themselves who explained it to us. So much for expert recruiters who can translate your need into reality.


I must admit I’ve experienced two approaches from recruiting agencies. The first is ”I’m not working till I’m promised money because I don’t want to waste my time”, the other is “we give you value then up-sell”.

Working in a startup has many unknowns to tackle, therefore, I prefer to minimize unknowns especially when it comes to burning rate. So even with agencies that didn’t mention their terms, I defined in advance a day rate including the agency fee. The problem was that, even after taking that step, once the agency saw I was interested in a candidate they started renegotiating the rate. Time is the most valuable asset a startup has and since a big part of my time is prioritizing and planning I have zero tolerance for things that waste my time.

Let’s talk about money

The recruiting agency model is most definitely not matched for startups. Let’s assume a person is 100 per day, a recruiter will take between 15–25 percent on top of that. For every day a person works for me, I will pay 100 to them and 25 to the recruiter, and the best part is that’s how it works forever.

If you want to hire a person permanently it’ll be a bit different. You will have to pay 20–30% in one go. So if someone earns 100k you will have to pay 30k immediately, after their probation is over.

Big companies save so much money by having their own HR and processes but also reluctantly sometimes use recruiters if they need to grow fast. But for a startup who raised seed or A round money, the prospect of subscribing to recruiters forever, or giving an immediate payout for a perm role is foolish.

Professional startup consultants

Solicitors, closers, and advisors learned and developed ways to work with startups, by agreeing to risks, getting paid a bit now and then more later. Startup employees who also believe in the company do the same. To me it makes perfect sense, and recruiters should see an amazing prospect here too. The startup can continue hiring through them for a very long time, and maybe at some point even buy them as their HR department. You’d think that would work for everyone involved.

But throughout my experience, I haven’t seen any flexibility, no models that work well for startups. The business world has evolved, but it feels like the recruiting world has stood still. After all, what does a startup need when it comes to recruitment:

  • The ability to understand they made a mistake and terminate a contract quickly if the person doesn’t fit.
  • The support and connection of people who believe in it.

What does a startup have to give:

  • The promise it’ll be new, agile, interesting and revolutionary.
  • A return on investment of either time or money.

I think more recruiting agencies should start developing a model for this. The corporate world is brilliant but the startup world has much to offer too. Invest in startups and we will be grateful. I promise you it will translate into long-term working relationships.

The whole reason to choose a recruitment agency is to save you time, but I guess I’ve learned there are no shortcuts here. My advice to myself is to use personal recommendations (like we did so far) and go to meetups and find people myself. Maybe one day when there are good models I’ll test the recruiting world again, but at the moment it feels dated and rigid.

How to make recruitment work for startups

Flexibility

In a startup things are unexpected mainly due to inexperience. Lack of experience could be reflected in: legal, recruiting, management etc. In addition, the startup might pivot or get hit with a lawsuit or a partner crisis. The startup world is hard and unstable, so warmth and flexibility help oil the joints.

Flexibility can also be reflected in the lack of pressure recruiters put on businesses. Work with the startup on their terms. Have a weekly meeting with the CEO about new candidates. Be a part of the mission, anticipate the needs of the company and suggest what roles could help it develop. Instead of bombarding us with emails and phone calls that just distract and create antagonism, let the startup cope. The CEO will talk to you when they have time and if they don’t it’s not your place to push. It probably just means that priorities have changed.

Money

Fire quickly — In reality this flexibility could be in the financial model a recruiter offers a startup. The ability to fire fast is key, especially during the probation period. Big companies can afford to keep the contractor for another two weeks, but in startup life two weeks are like two months.

Vesting — Percentages and big chunks of money don’t work for startups. It’s just not sustainable. Top candidates come and work for a pay cut and blue sky options. They come because they believe in a mission and are willing to work together to make it happen. A recruiter should also believe and invest in the same way. If you are vested the startup will continue working with you. With startups it’s not all about now, it’s about the future. There’s a chance it’ll turn into a Unicorn company and that you’ll have 50% of their recruiting cycle. That’s a lot of business that is good for everyone.

Permanent roles — Let’s face it, in a startup having a perm position doesn’t promise the stability it does in a corporate. The wheels are moving fast, the pressure is high and statistically employees stay less time…mainly because most startups fail. So instead of taking a huge chunk at the beginning, stretch it over a couple of years to make sure it’s the same amount of value a corporate client gets. Yes, there’s a risk involved, but that’s unavoidable when it comes to dealing with startups.

Long-term value

Find a way to give value that stays with the company. Recruiters search for and know many candidates and they can use this to the startup’s advantage. Having a database of options that are a match to the startup could be great for the future. It might not work out today, but it’s definitely valuable for tomorrow. To facilitate that a new account management system should be in place. Imagine an SaaS model for a startup or a yearly subscription that helps the startup keep track of potential employees, ready for the day when they can hire them.

Invest

Startup recruiters should be like VCs and investors. The market is big and many people are looking for jobs or employees. Allow yourself to be selective about the people you work with. Make sure the company you are recruiting for will survive the next six months and if you believe them then invest and create a long-term relationship. Build a pricing range that says, for example, in seed money I will get x% per employee I put to work there, in series A the percentage will grow and in series B as well. Start thinking outside the box when it comes to charging, rather than relying on the current structures that are so ill-suited to startup businesses.

Linked interests

Help the company and advise them as an HR expert. Help them to retain candidates as then your percentage will grow the longer they stay. Link the success of the employee to your success. If they get promoted or stay longer it might help you as well.

Summary

As a recruiter you don’t need to prove that you can find one person who can survive 90 days in the company. You need to be able to continuously bring value when needed and grow the current value based on experience and your success. Recruiting should be less like pimps and more like a long-term relationship. It requires trust, understanding and hard work, as well as support in the bad times as well as the good.

In today’s fast-paced world people move more. I don’t know if it’s because of interest, ambition, boredom, recruiters or bad management. But what I do know is that if someone did a good job for me I’d want to see them again and offer them another job. We’ve all got people that we like working with and that we love to hire, I’d like to see recruiters join that group as well.