Introducing Mido: an engine for clear decisions. Read “On clarity”

All solutions

Product Intelligence

Predict user behavior, and grow your product.

Mido uses your product the way people do, at scale, and shows where they encounter friction, where they leave, and which changes have the most impact on metrics.

Point it at a build, a design file, or a rival’s app. Each finding is ranked by projected ROI and stated with its uncertainty.

Why teams use Mido

Build what moves your metrics.

Mido shows where users hit friction, where they leave, and which fix is worth the most.

See where users struggle
Simulate how people use your product, and forecast the effect of every change you’re weighing on conversion, churn, and retention.
Smarter with every release
Each release brings new usage data. Mido folds it in, re-runs your product simulations, and checks them against how your users actually behaved.
Ship the version that wins
Put each version of a screen or flow in front of the same simulated users, compare how they behave, and ship the one that performs best.

Ask Mido

Every growth metric, modeled.

Whether it’s a two-week sprint or next year’s roadmap, Mido gives you an answer the whole team can act on.

Churn vs. rivals

“What feature drives churn for us, but retention for our rivals?”

Retention sprint

“We have 2 weeks to fix retention — what are the small-scope, high-ROI things we could build?”

Accessibility reach

“How many people want to use our app but can't, due to accessibility?”

Roadmap ROI

“What feature on our roadmap has the highest predicted ROI?”

Regional priorities

“What regions should we prioritize, based on consumer demand and competitive edge?”

Drop-off points

“Where do simulated users drop out of onboarding, and which fix recovers the most of them?”

Capabilities

Ship what wins, faster.

Mido finds what costs you users and what each fix is worth, from the first session to long-term retention.

  • Churn driver analysis

    The features and moments that push users to leave.

  • Funnel friction

    Where users get stuck or drop out, step by step.

  • ROI-ranked backlog

    Your roadmap, ordered by projected return.

  • Accessibility barriers

    The users your product excludes, and the fixes that reach them.

  • Attention mapping

    What users notice on each screen, and what they miss.

  • Time-to-value

    How long a new user takes to reach the payoff.

  • Feature vs. rivals

    How each feature compares with the competition.

  • Retention health

    Retention by cohort, with the drivers behind it.

  • Experiment design

    The tests worth running, and the expected result of each.

  • Onboarding polish

    The changes that get more users through setup.

FAQ

Answers to common questions.

Mido runs on our own model architecture, built for long-horizon simulation and analysis. It does not use commercial or third-party LLMs to function.

Its simulations draw on Mido’s system of record: a proprietary, market-scale set of validated product and marketing outcomes, with billions of data points. It is what lets Mido reach up to 96.5% accuracy on the most common types of Simulations, continually validated by backtests against observed outcomes.

Mido’s accuracy is continually validated by backtests against observed outcomes — up to 96.5% accurate for the most common types of Simulations. Every prediction comes with a confidence grade.

Fortune-100 companies have tested Mido’s proprietary research and behavior model against their own studies, and it has matched or exceeded the results.

As often as you need. On every plan, you can re-run any simulation hourly, daily, or at every release, and Mido refines and backtests it as new data arrives.

Teams see a 20–50× return on their investment in Mido, measured across 15 customer deployments over one year. They do months of work in a couple of hours, and their simulations keep running and refining 24/7.

Ask Mido the critical questions that your business growth depends on: what price to launch at, which feature to build next, what market needs are most underserved. Mido returns a decision-grade answer with sources cited and methodology you can trust.

Mido is SOC 2 compliant. All data is encrypted in transit with TLS 1.2+ and at rest with AES-256, and each customer’s data is kept isolated. Mido never trains AI models on your data. You keep ownership of everything you submit and can delete it at any time. Mido runs on AWS, Google Cloud, and Azure.

Learn more on our privacy page.

Mido serves games studios, publishers, and product companies, from pre-seed startups to Fortune-100 enterprises. Each team uses it differently:

  • Marketing — see how campaigns, messaging, and pricing land before you spend.
  • Product — test UX changes and roadmap priorities on simulated users before you build.
  • Accessibility — measure how many people barriers keep out, and prioritize the fixes.
  • BD — map partners, whitespace, and the deals worth pursuing.
  • Analytics — get in-depth market and competitive analysis in minutes.
  • Publishing — assess risk and opportunity across the portfolio, title by title.
  • Leadership — weigh high-stakes decisions against live user, competitor, and market evidence.

We work closely with you to identify the workloads your team needs to handle, the bottlenecks you want to clear, and your timelines. Then, we build a transparent, predictable annual plan around the tangible value Mido brings to your business, right-sized to your needs.

To request a quote and a walkthrough, contact us.

Yes. Each month, Mido for Startups accepts a limited number of venture-backed companies, pre-seed through Series A. Participants receive $5,000 to $25,000 in platform credits and direct support from our team.

Eligible teams can apply to the program.

Make stronger decisions.

Mido helps you test options, reduce risk, and back the plans most likely to win.