@Centercode profile picture
Centercode @Centercode
Joined November 2008
  • Tweets 4,524
  • Following 748
  • Followers 1,831
1,316 Photos and videos
Pinned Tweet
Centercode@Centercode
5 Apr 2023
Our ebook "How to Drive Tester Feedback" is your new GPS for gathering actionable feedback from your testers in no time! Learn how to set clear tester expectations, create engaging activities, and maintain regular communication with your beta testers. bit.ly/3nMn2Pu
1
4
368
Ask five teams to define alpha and beta testing and you'll get five answers. That fuzziness costs you clean test plans and clear results. This guide draws the line, when each one happens, who runs it, and what it's actually for→ hubs.la/Q04lh1b80

Alpha vs. Beta Testing: The Complete Modern Guide

Ask five teams to define alpha and beta testing and you'll get five answers. Here's a clearer take.

centercode.com
12
Don't learn your build isn't beta-ready the day you ship. The Release Playbook preps your app before TestFlight and Google Play→ hubs.la/Q04l018S0

The Release Playbook: Preparing Your App for Beta | Centercode

Ensure a seamless beta release with this expert guide. Learn how to prepare your app, engage testers, and collect actionable feedback.

centercode.com
18
Most dogfooding programs do two things well: collect issues and breed resentment. The best ones work differently. We pulled apart how real companies run internal testing that people actually want to join→ hubs.la/Q04l049L0
1
45
AI is changing how products get designed, built, and validated. Nobody's playbook covers all three. April's Product AI Summit dug into exactly that. Next up: San Francisco, Aug 12. Half a day, 3 original speakers, a Bay Area guest, dinner after. 🌉 → hubs.la/Q04k_Ys20
Product AI Micro Summit hosted by Centercode in San Francisco, August 12, 2026. Black and white photos of San Francisco landmarks frame the event name.

ALT Product AI Micro Summit hosted by Centercode in San Francisco, August 12, 2026. Black and white photos of San Francisco landmarks frame the event name.
10
Three signs your hypothesis needs work: 1️⃣ No clear "wrong" condition. 2️⃣ No number. 3️⃣ No "because." Run yours through the Check function. 30 seconds. Try it free→ hubs.la/Q04jpbCr0
Hypothesis Helper's Check screen with a sample hypothesis about adding a "getting started" checklist pasted in, plus optional Context set to Activation and Audience set to B2B.

ALT Hypothesis Helper's Check screen with a sample hypothesis about adding a "getting started" checklist pasted in, plus optional Context set to Activation and Audience set to B2B.
6
Every PM has a hypothesis they'd rather not show a researcher. Run yours through this first. Try the Check function free on Centercode Labs→ hubs.la/Q04jhpWl0
0:35
14
Everyone's an AI expert until you ask them to show their work. That's our CEO Luke Freiler up there right now at AI Tinkerers Orange County, sharing what building and validating with AI actually takes. Hands dirty, receipts included. We're a little proud. 👀
16
The most valuable thing a dogfooding program produces isn't the feedback. It's a company that genuinely understands its own product before launch. Support, sales, and marketing all get sharper. The bugs just come along for the ride. 🐶→ hubs.la/Q04jGMQj0
A balance scale comparing dogfooding program outcomes, with the lighter 'Bug Hunt' side producing only bugs while the heavier 'Adoption Program' side produces product knowledge, enablement, internal community, and bugs as a byproduct.

ALT A balance scale comparing dogfooding program outcomes, with the lighter 'Bug Hunt' side producing only bugs while the heavier 'Adoption Program' side produces product knowledge, enablement, internal community, and bugs as a byproduct.
1
157
Hypothesis Helper has a Check function now. Paste it your idea, get a quality rating, feedback on what is and isn't working, and a sharper rewrite in about 30 seconds. Totally free to use and no signup required→ hubs.la/Q04jdB610
11
5 ways AI/ML breaks beta testing: 1. No "right answers" 2. Data privacy traps 3. Post-launch drift 4. Edge cases that won't reproduce 5. Bias hiding behind accuracy The fixes→ hubs.la/Q04h-B1Z0

Beta Testing AI/ML Products: 5 Challenges to Plan For

Your AI works perfectly in beta. You launch. Three weeks later, accuracy drops 20% and support is fielding bias complaints you never saw. What happened? Traditional beta testing doesn't work for...

centercode.com
18
Skipping alpha doesn't save time. It burns out your beta panel. Skipping beta doesn't save time. It surprises you with support tickets at launch. Alpha and beta answer different questions. Skip either one and the other does both jobs poorly→ hubs.la/Q04gTsDc0

Alpha vs. Beta Testing: The Complete Modern Guide

Ask five teams to define alpha and beta testing and you'll get five answers. Here's a clearer take.

centercode.com
15
Too detailed for your VP. Too vague for your team. Just right for nobody. So you wrote your sprint update three times. Status Report Assistant on Centercode Labs takes the inputs once and writes all three→ hubs.la/Q04gxBTh0
A tired but composed product manager sits at a laptop while three coworkers crowd around with a tablet, laptop, and phone, each asking for something in a busy modern office.

ALT A tired but composed product manager sits at a laptop while three coworkers crowd around with a tablet, laptop, and phone, each asking for something in a busy modern office.
19
The signal exists. Support tickets, NPS, tester feedback, the occasional sales call. It just shows up 3 weeks after you've shipped two more things on top of it. AI only sped up the "build and ship" half of the loop→ hubs.la/Q04g06bG0
Illustration of an assembly line with orange code-marked boxes flying off a fast conveyor belt and piling up at the entrance to a slower validation conveyor, where a single box is being inspected under a lamp.

ALT Illustration of an assembly line with orange code-marked boxes flying off a fast conveyor belt and piling up at the entrance to a slower validation conveyor, where a single box is being inspected under a lamp.
155
The framework is a tool, not a deliverable. If you're filling out RACI for tasks a 5-minute Slack message resolves, the chart became the work. More on how to pick the right responsibility framework (and when to skip it)→ hubs.la/Q04fGdK20
A decision tree flowchart that guides users to choose between RACI, RASCI, DACI, or RAPID based on whether they are assigning task ownership or making a decision and the presence of ownership gaps or stakeholder veto power.

ALT A decision tree flowchart that guides users to choose between RACI, RASCI, DACI, or RAPID based on whether they are assigning task ownership or making a decision and the presence of ownership gaps or stakeholder veto power.
22
RACI matrices die in Google Docs. RACI Reactor builds one in 60 seconds. Generate RACI, RAPID, DACI, or RASCI charts. Try it free on Centercode Labs, no accounts, no signup required→ hubs.la/Q04f8qXp0
Promotional graphic for Centercode Labs’ “RACI Reactor” tool, highlighting its ability to quickly generate clear responsibility matrices, with a modern icon, “Just Launched” badge, and dark gradient background.

ALT Promotional graphic for Centercode Labs’ “RACI Reactor” tool, highlighting its ability to quickly generate clear responsibility matrices, with a modern icon, “Just Launched” badge, and dark gradient background.
43
Before AI, bad ideas died on the whiteboard. Now they ship. Thursday in Culver City, our CEO Luke Freiler talks AI slop, the habits creating it, and how to fix it. Hosted by AITP-LA. Dinner included. Register: hubs.la/Q04dMgmj0
24
"Disposable intelligence." That's how Brennan McEachran framed AI's impact at the Product AI Summit. When ideas are cheap to produce, what matters is knowing which ones to keep. Production gets faster. Taste becomes the bottleneck. Full recap→ hubs.la/Q04dDSjH0
1
25
Product AI Summit 2026 is a wrap. Three days of exploring how AI is forcing us to rethink the way we do product work. Closed it out with baby goat yoga and learning to make fresh mozzarella. This one felt different, in the best way. Thank you to everyone who made it happen.
21
Brennan McEachran is presenting right now at the Product AI Summit on a shift that’s already underway: engineers are moving from writing every line of code to directing intelligent systems that explore, experiment, verify, and ship on their own.
22
Brad Day is on stage at the Product AI Summit sharing how Centercode brought AI into our design and development process, and what it changed about how product and engineering work together. Real lessons from making the transition.
9
Load more