How can you find the best product analytics platform to optimize your product roadmap?

Multi Tool Approach There is no tool out there that can do it all. Consider pursuing a multi Tool Approach. X for A, Y for B and Z for C. It might even cost less to have a lower tier subscription to three different tools rather than a high tier subscription to one. Identity strengths of each tool when doing trial and match them to your needs when selecting. Using a mapping exercise might reveal the need for multiple tools. Many tools also offer multiple Products Some analytics tools offer other products like heatmaps, surveys etc. Choose one that will allow using the same codebase for multiple products to save on dev effort and get discounts.

One needs to go through the Product & then compare the tools whose resemblance meets the Product tracking & development process most precisely. However, there may be multiple tools present so all of them must be tested by taking a sample product as dummy. Then chalk out the Pros & Cons of each tools & their accuracy of the metrics across the timeline which should certainly give the required decision to pick the best while keeping the costs in mind.

As a hands on Engg and Tech PM, looking for the best product analytics platform to optimize your product roadmap, this is what I do: -Block calendar> Crawl the sites and tools "weekly" that you have access to. Thank me later. -Define Your Requirements: Start by clear requirements for a product analytics. Consider factors & filters, such as the types of data you need to track, the level of granularity required, intended users, integration capabilities with your existing tools and systems, ease of use, scalability, and budget constraints etc. -Read Reviews and Case Studies first , followed by demos , to compare these products. - Integration , Scalability &Customization are best friends! -Continuous feedback from stakeholders & cost break down

A needs assessment is a systematic process that examines what criteria must be met in order to reach a desired outcome. For example, a marketing needs assessment might be used to build a business case for replacing software the company uses to conduct direct email campaigns.

Understand Customer Needs: Gather feedback from customers through surveys, interviews, and analytics to understand their needs and pain points. Market Research: Analyze competitors and market trends to identify gaps and opportunities for your product. Cross-Functional Collaboration : Involve stakeholders from different teams such as product management, development, marketing, and sales to ensure alignment and buy-in. Tools like Jira, Trello, or Asana can help in managing and visualizing your product roadmap effectively. Additionally, leveraging customer feedback platforms like UserVoice or Intercom can provide valuable insights into customer needs and preferences.

Key Features means the document describing the important characteristics of the Plan to which your application relates, including its aims and associated risks.

Ease of integration" is a phrase used to describe how easy it is to integrate one thing with another, such as systems or services. For example, "The software has an excellent ease of integration with other third-party services

User feedback is data from users about their experiences with a product, service, or digital channel. It can include opinions, comments, suggestions, and online reviews. User feedback can help businesses understand how well the product meets their needs, what areas need improvement, and what features people value most. This information can help businesses make decisions, prioritize changes, and foster a customer-centric culture.

Um produto é desenvolvido para se atender à necessidade de um cliente/ usuário. Quem melhor que essa persona para contribuir com melhorias e aprimorar um produto? O excesso de apego a uma ideia, a um projeto, apenas sob o olhar do desenvolvedor é o primeiro passo para o fracasso desse projeto, visto que o principal objetivo do produto é atender à necessidade do seu cliente.

"Test Before You Invest!" A key strategy to find the best product analytics platform for optimizing your product roadmap is to leverage the trial periods. Most vendors offer this service, and it's a golden opportunity to assess if the platform aligns with your expectations. Consider factors such as usability, the depth of insights offered, and the platform's compatibility with your existing systems during this trial phase. Further, it's beneficial to research industry best practices and reviews from other users to gain a broader perspective. Always remember - the most expensive platform isn't necessarily the best one. It's about finding a platform that provides the most value to your specific needs.

A trial period is a period of time when someone or something is tested. In employment, a trial period is a period at the beginning of employment when both the employee and the employer can terminate the employment. During a trial period, an employer can dismiss an employee for any reason, or no reason, without the employee being able to raise a personal grievance for unjustified dismissal. The trial period is usually up to 90 days. When the trial period has ended, the employer cannot dismiss the employee without a good reason

Testing at least 3 platforms has been a good rule of thumb that has worked for me in the past. One, often overlooked, aspect of your decision should be team satisfaction. If Designers, Engineers, and other PMs don't like the output or UI of the central analytics tool you are using, adoption will be hard down the road.

"Find Balance!" When it comes to choosing the best product analytics platform to optimize your product roadmap, it's crucial to strike the right balance. The cost of the platform should be justified by the value it provides. Free or low-cost platforms might seem appealing, but they may fail to deliver the depth of insights required. On the other hand, high-end platforms might offer advanced features, but they could be an overkill for your current needs. Do a thorough cost-benefit analysis and ensure your choice is a cost-effective investment in your product's future. Remember, the right platform will not only fit your budget but also enhance the effectiveness of your product roadmap.

Trade-offs between cost vs feature:- 1. Google Analytics is free for most companies, making it a cost-effective option for basic website/mobile analytics and has most if not all the features. 2. Amplitude is by far the most expensive platform of the three. 3. Mixpanel also has a free plan for up to 100,000 monthly tracked users (MTUs). For paid plans, you can build a customizable plan starting at $25/month. For 1,000 MTUs, Mixpanel costs $36/month when paid monthly and $299/year when paid annually. Heap is more cost-effective for smaller businesses or startups. However, Amplitude and Mixpanel offer more advanced features and customization options that may justify their higher costs for larger companies with more sophisticated needs.

Ease of Implementation This will be a defining criteria for what you can pull off. Do you have full leverage of implementation teams to dedicate hours or hundreds of story points to implementation or do you want to squeeze the implementation in with a few points here and there? Do you have an analyst who can spend dedicated time on defining the requirements?(Most involved tools will require this even if the tool itself doesn't cost much) Or do you want something off the shelf with most features prepackaged in the API? Depending on the resources available you might want to go with a dual or even a three ponged analytics. X for A, Y for B and Z for C. It might even cost less for low tier subscription on three tools rather 1 high tier one.

Facilidade de implantação, integração com demais ferramentas, usabilidade para o time, atendimento às necessidades do projeto, eliminando controles externos, patrocínio da alta gestão, engajamento para comunicação.