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Choice of next big bet

How to choose the following large product bet: strategic compliance, evidence, upside, risks and investment stages.

Big bet is not the loudest idea, but a large irreversible allocation of resources with noticeable uncertainty. Compare the stakes by value creation mechanism, size of possible outcome, company’s right to win and cost of obtaining the next proof; fund training in stages.

What is the next big bet and why is it a team?

Definition and substance

Next big bet is a team’s bet on the next big product move that can make a significant difference to the growth of a product or business. Usually, it’s about new features, segments, markets, or business models. The task is to choose the one that will give the maximum increase in metrics at a reasonable level of risk.

Why it is important to bet quickly

In the practice of product teams, there is often a point when current hypotheses are exhausted or do not produce the expected growth. Choose a new bet should be as conscious and fast as possible - otherwise the team stalls, resources are wasted, and competitors seize the initiative.

Example
In mobile banking, growth in the core segment is slowing, and the team is considering a separate offer for teens. Before a major investment, she tests two sides of the decision: value and autonomy for the child, and control and trust for the parent. The size of registrations without active use and understandable economy does not confirm the rate.

Quick Diagnostics: When and Why to Put Next Big Bet

Typical situations for finding a large bet

  1. Product stopped growing fast, standard improvements barely move metrics
  2. The team has mastered the current market, we need to look for a new source of growth.
  3. Major competitors accelerate or alternative products emerge

Example
Let’s imagine a job platform that has plateaued in the main segment. The team is considering the service for project employment, but doesn’t declare it the next big bet on one market size: first checks audience intersection, the advantage of available data and channels, the economics of matching and the risk of blurring the core product.

Preparation criteria for the next big bet

You should not go to a new bet just out of a desire to change something. Diagnosis:

  • The main product hypotheses are realized or no longer give rise
  • Growth rate of key metrics stagnates
  • The team is able to quickly test large-scale hypotheses.

Anti-pattern Rushing the next big bet without checking the current funnel and root causes of stagnation is a common mistake. Sometimes the cause may not be the product, but, for example, the channel of attraction or pricing.

How to choose the next big bet: a practical algorithm

Evaluation of options

Identify 3-5 promising areas:

  • Analyze user pains not covered by current solutions
  • Evaluate trends and the emergence of new segments in the market
  • Gather ideas from the internal team

Use a simple scoring system (e.g. RICE: Reach, Impact, Confidence, Effort) to objectively compare features.

Detailed RICE Scoring Method

Example
In SaaS, teams have compiled a list of ten possible destinations. Each was evaluated for RICE and removed low-impact or expensive-implementation ideas.

Rapid validation

Any bet is a risk. Protect the team from failure:

  • Create a light prototype (or concept), check the market reaction in 1-3 weeks
  • Organize customer interviews with users from the target segment
  • Evaluate real monetization scenarios, preliminary

Anti-pattern Running an MVP without checking on at least a few real customers often results in a waste of time. In practice, it is better to invest in short validation than in full development at random.

Risk control and launch strategy

How to Avoid Overheating Team and Product

When selecting and launching a new bet, it is easy to get carried away and overload the team. Check it out.

  • Do all participants have a clear picture of success and stopping criteria?
  • Is the plan a quick return to the original position if the idea does not take off?

Example
In fintech, the team launched a new product for small businesses. A month later, it became clear that the segment was not pumping – an exit strategy was agreed in advance, thanks to which they quickly returned to the revision of the main product.

Startup: Short feedback cycles

The best scenario is to run the next big bet in parts, highlight 1-2 product hypotheses, and monitor key metrics (e.g., new user growth, LTV, retention). Errors are easier to correct if you track the indicators from the first days.

Real-time product analytics

Mistakes and anti-patterns in choosing the next big bet

Top 3 Frequent Mistakes

  1. Decisions are made without analyzing the reasons for the halt in growth in the current product.
  2. Projects take off without testing the hypothesis for user value.
  3. The team puts all the resources in one bet, without fixing the criteria for success and exit.

Example
One EdTech company has begun scaling the new rate before checking demand. As a result, the budget went, and the course was unclaimed.

How to see a mistake early on

Pay attention if:

  • The idea seems very clear to everyone, but no one can clearly say whose priority it is.
  • Success metrics blurred, time and resource constraints not set
  • The decision is controversial, but there is no open discussion about the risks

**Conclusion: ** More valuable than delay is quick error detection and return to simple steps.

FAQ: Frequent questions about the next big bet

**How do you know if you are confident in the chosen bet? If there are real signals from the market or from users, and the rate gives a noticeable improvement in key metrics already in the early tests.

**Can I make multiple bets in parallel? It is possible if the resources are sufficient and the rates are not competing for the same resources. It is usually best to focus on one so as not to smear your attention.

**What metrics do you use to measure success? Look at new user growth, LTV, retention, speed/cost of attraction, revenue. Metrics depend on the type of product.

** Can you trust only the inner feelings of the team? Feelings are important, but the decision is best based on market validation and user feedback.

*What to do if the bet doesn’t go up? Record the lessons, quickly complete the experiments and return to the next hypothesis from the pool.

**Where to start if you don’t have any ideas for a meaningful bet? Interview current and potential users, and explore related markets and competitors.