Tired of generic 2021 predictions about remote work, cloud, and data? Here are 10 specific trends to consider in your growth strategy:
By this point, most PMs know that the key to growth is a deep understanding of your target customers. Simply relying on internal ideas is not enough, nor is it enough to just look at google analytics and product usage data. You actually have to talk to the market.
But even if you are convinced to regularly interview customers to get the voice of the market, of the big blockers I have seen is simply HOW to go about it. How do you land customer interviews? What do you say during the customer interview?
Who are the people that can't live without your product? Why is that product a must-have for them? And what is the difference between these must-have users compared to other users for whom it's just a nice-to-have? These questions are at the root of scaling growth. Find your must-have users.
Yet, when planning target markets, it’s human nature to want to go broad. There is a feeling of safety and comfort. “Why, my product has hundreds of uses, for everyone! Let me list the ways…” But one of the great paradoxes of growth is that, in general, the more broadly you define target markets, the less business you actually take in. It literally pays to get more targeted.
Now that you've read the The Complete Guide to Customer Research Interviews, you know that gathering intelligence from customer interviews, market analysis, online research, win/loss analysis, is critical to developing a strategy that drives product-market fit and growth. But once you have accumulated all your customer and market insights, what do you actually do with it? Here are 5 immediate steps to infuse your strategy with intelligence in practice.
Popularized by Amazon, a Single-Threaded Owner (STO) is a leader who is 100% dedicated and accountable to a new initiative such as inventing a new product, launching a new line of business, or executing a digital transformation. The Single-Threaded Owner is responsible for turning strategy into real results.
A company is only as secure as its weakest link. But what if the weakest link isn't at the company at all, but rather one of its third-party suppliers? A company can reinforce its own security posture by training its staff and implementing the latest tech, but it still has to provide access and share information with its suppliers, and its suppliers’ suppliers, and so on along the chain. With each degree of separation, the company has less control over its suppliers’ security – especially small suppliers lacking security controls. But when there is a data breach, no matter how far along in the supply chain, the company itself bears the brunt of the consequences.
Product leaders know they need to tailor their roadmap to customer demand. They base these decisions on market intelligence from the usual sources:
These sources are important, but are often indirect and lagging information, not to mention other biases. For those that just want to appease their boss, this may be enough. What you release next may or may not be successful, but at least you can show that you based your roadmap on sources. But for those that really care about a product that sells and users love, you need to balance this with more direct and predictive sources of intelligence.
It can be encouraging and disappointing all at once if your team has worked hard to generate marketing qualified leads (MQLs) but somehow they just aren’t converting to actual revenue. For SaaS stores, this can look like lots of sign-ups but few actual transactions. In a traditional B2B company, you might see a lot of activity - website visitors, webinar attendees, trade show booth visitors, and even direct requests for a quote - but conversion to sales is low. What’s going on? It can be tempting to point fingers, but this is almost always a system problem more than any particular team's failing. Here’s a checklist to help diagnose.
In many industries, sales is used to ‘selling’ the vision of the product in advance of it being built, and customers assume vapourware by default. No one bats an eye because we’re accustomed to the idea that engineering will always be able to fulfill whatever we’re selling, given enough time and money.
New technologies like machine learning and blockchain offer a world of possibilities, but many of these possibilities may not actually be able to be implemented in practice, even with a huge budget. It's easy to promise "The product will automatically predict X with high accuracy." where X could be anything from detecting a security breach to predicting stock prices to finding the perfect outfit for you wear. But even if the prototype is already 70% accurate, it may never get to 80%, or whatever you need it to be to be commercially viable.
Most companies are laser-focused on meeting the current quarter's target, with an all-hands-on-deck effort by sales, marketing and product to close the gap by quarter-end. There is usually also a funnel of opps and leads for next quarter. But what about 2 quarters out?
Short-term revenue is the lifeblood of the company - you don't survive very long if you don't make your number. So companies get good at meeting their target quarter-to-quarter. But one day the current quarter does not look good. The funnel is just not there. Maybe you've saturated the market, or there's been a disruption, or maybe you just didn't have enough funnel-generating activity 6 months ago. Now you're in trouble, and no amount of short-term execution can solve it. Don't fall into this trap!